Masaharu Munetomo

136 papers A 8B 29C 9Misc 4Journal 45Unranked 36

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Evolution and extraction of decision-making mechanisms in collective perception of a robotic swarm. Artif. Life Robotics Daichi Morimoto, Motoaki Hiraga, Kazuhiro Ohkura, Masaharu Munetomo
2026	J	`jnl`	K-means competitive swarm optimizer: performance benchmarking and application in brain tumor detection. Int. J. Mach. Learn. Cybern. Yang Cao, Zhongmin Wang, Xingbang Du, Jun Yu, Rui Zhong, Masaharu Munetomo
2025	—	`conf`	Adjacent Distance Matrix-Based Competitive Swarm Optimizer. EvoApplications (2) Yang Cao, Rui Zhong, Jun Yu, Masaharu Munetomo
2025	B	`conf`	CWTLNet: Ultra-Short-Term Cryptocurrency Forecasting with Wavelet-Enhanced Deep Architecture. SMC Xingbang Du, Yang Cao, Enzhi Zhang, Rui Zhong, Masaharu Munetomo
2025	J	`jnl`	Competitive differential evolution with knowledge inheritance for single-objective human-powered aircraft design. J. Supercomput. Rui Zhong, Yang Cao, Enzhi Zhang, Masaharu Munetomo
2025	J	`jnl`	Correction: SFE-EANDS: a simple, fast, and efficient algorithm with external archive and normalized distance-based selection for high-dimensional feature selection. Clust. Comput. Rui Zhong, Yang Cao, Essam H. Houssein, Jun Yu, Masaharu Munetomo
2025	J	`jnl`	Dynamic fitness-distance balance competitive swarm optimizer: performance investigation, engineering Simulation, and application in superconductor critical temperature prediction. Clust. Comput. Yang Cao, Xingbang Du, Jun Yu, Rui Zhong, Masaharu Munetomo
2025	—	`conf`	Enhancing Competitive Swarm Optimization Through Time-Adaptive Selection Between Adjacency-Guided and Random Strategies. ICSI (1) Yang Cao, Rui Zhong, Jun Yu, Masaharu Munetomo
2025	J	`jnl`	HHDE: a hyper-heuristic differential evolution with novel boundary repair technique for complex optimization. J. Supercomput. Rui Zhong, Shilong Zhang, Jun Yu, Masaharu Munetomo
2025	J	`jnl`	LLMOA: A novel large language model assisted hyper-heuristic optimization algorithm. Adv. Eng. Informatics Rui Zhong, Abdelazim G. Hussien, Jun Yu, Masaharu Munetomo
2025	J	`jnl`	SFE-EANDS: a simple, normalized distance-based selectionfast, and efficient algorithm with external archive and normalized distance-based selection for high-dimensional feature selection. Clust. Comput. Rui Zhong, Yang Cao, Essam H. Houssein, Jun Yu, Masaharu Munetomo
2025	J	`jnl`	Tri-subpopulation sigmoid-enhanced sine-cosine algorithm and its application to gene function prediction problem. J. Supercomput. Yang Cao, Yuefeng Xu, Xingbang Du, Rui Zhong, Jun Yu, Masaharu Munetomo
2025	J	`jnl`	Vision transformer-based meta loss landscape exploration with actor-critic method. J. Supercomput. Enzhi Zhang, Rui Zhong, Xingbang Du, Mohamed Wahib, Masaharu Munetomo
2024	A	`conf`	Adaptive Patching for High-resolution Image Segmentation with Transformers. SC Enzhi Zhang, Isaac Lyngaas, Peng Chen, Xiao Wang, Jun Igarashi, Yuankai Huo, Masaharu Munetomo, Mohamed Wahib
2024	J	`jnl`	Adaptive Patching for High-resolution Image Segmentation with Transformers. CoRR Enzhi Zhang, Isaac Lyngaas, Peng Chen, Xiao Wang, Jun Igarashi, Yuankai Huo, Mohamed Wahib, Masaharu Munetomo
2024	J	`jnl`	Cooperative coevolutionary differential evolution with adjacent intensity matrix with linkage identification for large-scale optimization problems in noisy environments. Evol. Intell. Rui Zhong, Binnan Tu, Enzhi Zhang, Masaharu Munetomo
2024	J	`jnl`	Cooperative coevolutionary surrogate ensemble-assisted differential evolution with efficient dual differential grouping for large-scale expensive optimization problems. Complex Intell. Syst. Rui Zhong, Enzhi Zhang, Masaharu Munetomo
2024	J	`jnl`	Evolutionary multi-mode slime mold optimization: a hyper-heuristic algorithm inspired by slime mold foraging behaviors. J. Supercomput. Rui Zhong, Enzhi Zhang, Masaharu Munetomo
2024	—	`conf`	Hierarchical Adaptive Differential Evolution with Local Search for Extreme Learning Machine. ICSI (1) Rui Zhong, Yang Cao, Jun Yu, Masaharu Munetomo
2024	J	`jnl`	Introducing Competitive Mechanism to Differential Evolution for Numerical Optimization. CoRR Rui Zhong, Yang Cao, Enzhi Zhang, Masaharu Munetomo
2024	J	`jnl`	Large Language Model Assisted Adversarial Robustness Neural Architecture Search. CoRR Rui Zhong, Yang Cao, Jun Yu, Masaharu Munetomo
2024	J	`jnl`	Learning from the Past Training Trajectories: Regularization by Validation. J. Adv. Comput. Intell. Intell. Informatics Enzhi Zhang, Mohamed Wahib, Rui Zhong, Masaharu Munetomo
2024	J	`jnl`	Meta generative image and text data augmentation optimization. J. Supercomput. Enzhi Zhang, Bochen Dong, Mohamed Wahib, Rui Zhong, Masaharu Munetomo
2024	J	`jnl`	SRIME: a strengthened RIME with Latin hypercube sampling and embedded distance-based selection for engineering optimization problems. Neural Comput. Appl. Rui Zhong, Jun Yu, Chao Zhang, Masaharu Munetomo
2024	B	`conf`	Validation Loss Landscape Exploration with Deep Q-Learning. IJCNN Enzhi Zhang, Rui Zhong, Masaharu Munetomo, Mohamed Wahib
2023	—	`conf`	A Hierarchical Cooperative Coevolutionary Approach to Solve Very Large-Scale Traveling Salesman Problem. OLA Rui Zhong, Enzhi Zhang, Masaharu Munetomo
2023	B	`conf`	Adjacent Intensity Matrix with Linkage Identification for Large-Scale Optimization in Noisy Environments. CEC Rui Zhong, Binan Tu, Enzhi Zhang, Masaharu Munetomo
2023	J	`jnl`	An evolutionary robotics approach to a multi-legged robotic swarm in a rough terrain environment. Artif. Life Robotics Daichi Morimoto, Haruhi Tsukamoto, Motoaki Hiraga, Kazuhiro Ohkura, Masaharu Munetomo
2023	C	`conf`	Cooperative Coevolutionary NSGA-II with Linkage Measurement Minimization for Large-Scale Multi-objective Optimization. EMO Rui Zhong, Masaharu Munetomo
2023	J	`jnl`	Cooperative coevolutionary differential evolution with linkage measurement minimization for large-scale optimization problems in noisy environments. Complex Intell. Syst. Rui Zhong, Enzhi Zhang, Masaharu Munetomo
2023	J	`jnl`	Surrogate Ensemble-Assisted Hyper-Heuristic Algorithm for Expensive Optimization Problems. Int. J. Comput. Intell. Syst. Rui Zhong, Jun Yu, Chao Zhang, Masaharu Munetomo
2023	B	`conf`	Training Knowledge Inheritance Through Deep Q-Net. SMC Enzhi Zhang, Ruqin Wang, Mohamed Wahib, Rui Zhong, Masaharu Munetomo
2022	J	`jnl`	Accelerating differential evolution algorithm with Gaussian sampling based on estimating the convergence points. CoRR Rui Zhong, Masaharu Munetomo
2022	J	`jnl`	Accelerating the Evolutionary Algorithms by Gaussian Process Regression with ε-greedy acquisition function. CoRR Rui Zhong, Enzhi Zhang, Masaharu Munetomo
2022	J	`jnl`	Accelerating the Genetic Algorithm for Large-scale Traveling Salesman Problems by Cooperative Coevolutionary Pointer Network with Reinforcement Learning. CoRR Rui Zhong, Enzhi Zhang, Masaharu Munetomo
2022	J	`jnl`	Cooperative coevolutionary Modified Differential Evolution with Distance-based Selection for Large-Scale Optimization Problems in noisy environments through an automatic Random Grouping. CoRR Rui Zhong, Masaharu Munetomo
2022	J	`jnl`	Cooperative coevolutionary hybrid NSGA-II with Linkage Measurement Minimization for Large-scale Multi-objective optimization. CoRR Rui Zhong, Masaharu Munetomo
2022	J	`jnl`	Evolving collective step-climbing behavior in multi-legged robotic swarm. Artif. Life Robotics Daichi Morimoto, Motoaki Hiraga, Naoya Shiozaki, Kazuhiro Ohkura, Masaharu Munetomo
2022	—	`conf`	Generating and Analyzing Collective Step-Climbing Behavior in a Multi-legged Robotic Swarm. ANTS Conference Daichi Morimoto, Motoaki Hiraga, Kazuhiro Ohkura, Masaharu Munetomo
2022	J	`jnl`	Generating collective behavior of a multi-legged robotic swarm using an evolutionary robotics approach. Artif. Life Robotics Daichi Morimoto, Motoaki Hiraga, Naoya Shiozaki, Kazuhiro Ohkura, Masaharu Munetomo
2022	—	`conf`	Learning from the Past: Regularization by Validation. SCIS/ISIS Enzhi Zhang, Mohamed Wahib, Masaharu Munetomo
2022	—	`conf`	Many-Constraint and Many-Objective optimization with Bias Index for Intercloud Multi-Workflow Resource Provisioning. SCIS/ISIS Courtney Powell, Katsunori Miura, Masaharu Munetomo
2022	J	`jnl`	Optimal answer generation by equivalent transformation incorporating multi-objective genetic algorithm. Soft Comput. Katsunori Miura, Courtney Powell, Masaharu Munetomo
2021	J	`jnl`	GTOPX space mission benchmarks. SoftwareX Martin Schlueter, Mehdi Neshat, Mohamed Wahib, Masaharu Munetomo, Markus Wagner
2020	Misc	`conf`	Distribution System for Japanese Synthetic Population Data with Protection Level. ICMLC Tadahiko Murata, Susumu Date, Yusuke Goto, Toshihiro Hanawa, Takuya Harada, Manabu Ichikawa, Lee Hao, Masaharu Munetomo, Akiyoshi Sugiki
2020	J	`jnl`	GTOPX Space Mission Benchmarks. CoRR Martin Schlueter, Mehdi Neshat, Mohamed Wahib, Masaharu Munetomo, Markus Wagner
2019	B	`conf`	A Mixed-Integer Extension for ESA's Cassini1 Space Mission Benchmark. CEC Martin Schlueter, Masaharu Munetomo
2019	C	`conf`	Constrained Multi-objective Optimization Method for Practical Scientific Workflow Resource Selection. EMO Courtney Powell, Katsunori Miura, Masaharu Munetomo
2019	Misc	`conf`	Distribution of Synthetic Populations of Japan for Social Scientists and Social Simulation Researchers. ICMLC Tadahiko Murata, Takuya Harada, Manabu Ichikawa, Yusuke Goto, Lee Hao, Susumu Date, Masaharu Munetomo, Akiyoshi Sugiki
2019	C	`conf`	Inventing ET Rules to Improve an MI Solver on KR-logic. KEOD Tadayuki Yoshida, Ekawit Nantajeewarawat, Masaharu Munetomo, Kiyoshi Akama
2019	C	`conf`	Logical Approach to Theorem Proving with Term Rewriting on KR-logic. KEOD Tadayuki Yoshida, Ekawit Nantajeewarawat, Masaharu Munetomo, Kiyoshi Akama
2019	J	`jnl`	Network Structural Vulnerability: A Multiobjective Attacker Perspective. IEEE Trans. Syst. Man Cybern. Syst. Luca Faramondi, Gabriele Oliva, Stefano Panzieri, Federica Pascucci, Martin Schlueter, Masaharu Munetomo, Roberto Setola
2018	—	`conf`	A surrogate-assisted selection scheme for genetic algorithms employing multi-layer neural networks. GECCO (Companion) Masaki Fujiwara, Masaharu Munetomo
2018	—	`conf`	Introducing a linkage identification considering non-monotonicity to multi-objective evolutionary optimization with decomposition for real-valued functions. GECCO (Companion) Kousuke Izumiya, Masaharu Munetomo
2018	—	`conf`	Massively parallelized co-evaluation for many-objective space trajectory optimization. GECCO (Companion) Martin Schlueter, Masaharu Munetomo
2018	—	`conf`	Optimal Cloud Resource Selection Method Considering Hard and Soft Constraints and Multiple Conflicting Objectives. IEEE CLOUD Courtney Powell, Katsunori Miura, Masaharu Munetomo
2018	C	`conf`	Optimal and Feasible Cloud Resource Configurations Generation Method for Genomic Analytics Applications. CloudCom Katsunori Miura, Courtney Powell, Masaharu Munetomo
2018	—	`conf`	Towards a small diverse pareto-optimal solutions set generator for multiobjective optimization problems. GECCO (Companion) Courtney Powell, Katsunori Miura, Masaharu Munetomo
2017	B	`conf`	A Level-Wise Load Balanced Scientific Workflow Execution Optimization using NSGA-II. CCGrid Phyo Thandar Thant, Courtney Powell, Martin Schlueter, Masaharu Munetomo
2017	J	`jnl`	MIDACO Parallelization Scalability on 200 MINLP Benchmarks. J. Artif. Intell. Soft Comput. Res. Martin Schlueter, Masaharu Munetomo
2017	B	`conf`	Multi-objective Evolutionary optimization based on Decomposition with Linkage Identification considering monotonicity. CEC Kousuke Izumiya, Masaharu Munetomo
2017	J	`jnl`	Multiobjective Level-Wise Scientific Workflow Optimization in IaaS Public Cloud Environment. Sci. Program. Phyo Thandar Thant, Courtney Powell, Martin Schlueter, Masaharu Munetomo
2017	—	`conf`	Numerical Optimization of ESA's Messenger Space Mission Benchmark. EvoApplications (1) Martin Schlueter, Mohamed Wahib, Masaharu Munetomo
2016	—	`conf`	A Predicate Logic-Defined Specification Method for Systems Deployed by Intercloud Brokerages. IC2E Workshops Katsunori Miura, Masaharu Munetomo
2016	B	`conf`	Development of a multi-player interactive genetic algorithm-based 3D modeling system for glasses. CEC Takahito Seyama, Masaharu Munetomo
2016	—	`conf`	Evaluation of Three Steady-State NSGA-III Offspring Selection Schemes for Many-Objective Optimization. SCIS&ISIS Courtney Powell, Phyo Thandar Thant, Masaharu Munetomo
2016	—	`conf`	Intercloud brokerages based on PLS method for deploying infrastructures for big data analytics. IEEE BigData Katsunori Miura, Tazro Ohta, Courtney Powell, Masaharu Munetomo
2016	—	`conf`	Multi-objective Hadoop Configuration Optimization Using Steady-State NSGA-II. SCIS&ISIS Phyo Thandar Thant, Courtney Powell, Akiyoshi Sugiki, Masaharu Munetomo
2016	B	`conf`	Numerical assessment of the parallelization scalability on 200 MINLP benchmarks. CEC Martin Schlueter, Masaharu Munetomo
2015	B	`conf`	Distributed denial of services attack protection system with genetic algorithms on Hadoop cluster computing framework. CEC Masataka Mizukoshi, Masaharu Munetomo
2014	—	`conf`	Design of an SSO authentication infrastructure for heterogeneous inter-cloud environments. CloudNet Courtney Powell, Takashi Aizawa, Masaharu Munetomo
2014	—	`conf`	Human-based genetic algorithm for facilitating practical use of data in the internet. SCIS&ISIS Ryosuke Hasebe, Rina Kouda, Kei Ohnishi, Masaharu Munetomo
2014	B	`conf`	Parallelization for space trajectory optimization. IEEE Congress on Evolutionary Computation Martin Schlueter, Masaharu Munetomo
2013	—	`conf`	A scalable infrastructure of interactive evolutionary computation to evolve services online with data. IEEE BigData Masaharu Munetomo, Shintaro Bando
2013	J	`jnl`	An adaptive parameter binary-real coded genetic algorithm for constraint optimization problems: Performance analysis and estimation of optimal control parameters. Inf. Sci. Omar Arif Abdul-Rahman, Masaharu Munetomo, Kiyoshi Akama
2013	Misc	`conf`	Constructing a Robust Services-Oriented Inter-cloud Portal Based on an Autonomic Model and FOSS. UCC Courtney Powell, Masaharu Munetomo, Attia Wahib, Takashi Aizawa
2013	B	`conf`	Parallelization strategies for evolutionary algorithms for MINLP. IEEE Congress on Evolutionary Computation Martin Schlueter, Masaharu Munetomo
2013	—	`conf`	Towards Thought Control of Next-Generation Wearable Computing Devices. Brain and Health Informatics Courtney Powell, Masaharu Munetomo, Martin Schlueter, Masataka Mizukoshi
2013	—	`ch.`	arGA: Adaptive Resolution Micro-genetic Algorithm with Tabu Search to Solve MINLP Problems Using GPU. Massively Parallel Evolutionary Computation on GPGPUs Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama
2012	B	`conf`	Toward a Genetic Algorithm Based Flexible Approach for the Management of Virtualized Application Environments in Cloud Platforms. ICCCN Omar Abdul-Rahman, Masaharu Munetomo, Kiyoshi Akama
2011	B	`conf`	A Framework for Cloud Embedded Web Services Utilized by Cloud Applications. SERVICES Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama
2011	B	`conf`	Advanced genetic algorithm to solve MINLP problems over GPU. IEEE Congress on Evolutionary Computation Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama
2011	J	`jnl`	An adaptive resolution hybrid binary-real coded genetic algorithm. Artif. Life Robotics Omar Arif Abdul-Rahman, Masaharu Munetomo, Kiyoshi Akama
2011	—	`conf`	An improved binary-real coded genetic algorithm for real parameter optimization. NaBIC Omar Abdul-Rahman, Masaharu Munetomo, Kiyoshi Akama
2011	—	`conf`	Multi-Level Autonomic Architecture for the Management of Virtualized Application Environments in Cloud Platforms. IEEE CLOUD Omar Abdul-Rahman, Masaharu Munetomo, Kiyoshi Akama
2011	B	`conf`	Optimization of parallel Genetic Algorithms for nVidia GPUs. IEEE Congress on Evolutionary Computation Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama
2011	B	`conf`	Realizing robust and scalable evolutionary algorithms toward exascale era. IEEE Congress on Evolutionary Computation Masaharu Munetomo
2011	—	`conf`	Solving Extremely Difficult MINLP Problems Using Adaptive Resolution Micro-GA with Tabu Search. LION Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama
2010	B	`conf`	A Bayesian Optimization Algorithm for De Novo ligand design based docking running over GPU. IEEE Congress on Evolutionary Computation Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama
2010	Misc	`conf`	A Light Framework for the Unified Representation and Execution of Variant Tasks in a Grid Based Environment. PDPTA Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama
2010	B	`conf`	A proposal for Zoning Crossover of Hybrid Genetic Algorithms for large-scale traveling salesman problems. IEEE Congress on Evolutionary Computation Masafumi Kuroda, Kunihito Yamamori, Masaharu Munetomo, Moritoshi Yasunaga, Ikuo Yoshihara
2010	J	`jnl`	Development of a novel crossover of hybrid genetic algorithms for large-scale traveling salesman problems. Artif. Life Robotics Masafumi Kuroda, Kunihito Yamamori, Masaharu Munetomo, Moritoshi Yasunaga, Ikuo Yoshihara
2010	J	`jnl`	The design, usage, and performance of GridUFO: A Grid based Unified Framework for Optimization. Future Gener. Comput. Syst. Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama
2009	J	`jnl`	Hybrid of genetic algorithm and local search to solve MAX-SAT problem using nVidia CUDA framework. Genet. Program. Evolvable Mach. Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama
2009	C	`conf`	Theoretical and Empirical Analysis of a GPU Based Parallel Bayesian Optimization Algorithm. PDCAT Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama
2008	—	`conf`	A General Service-Oriented Grid Computing Framework for Global Optimization Problem Solving. IEEE SCC (2) Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama
2008	—	`ch.`	A Network Design Problem by a GA with Linkage Identification and Recombination for Overlapping Building Blocks. Linkage in Evolutionary Computation Miwako Tsuji, Masaharu Munetomo, Kiyoshi Akama
2008	C	`conf`	A Survey: Genetic Algorithms and the Fast Evolving World of Parallel Computing. HPCC Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama
2008	A	`conf`	Empirical investigations on parallel competent genetic algorithms. GECCO Miwako Tsuji, Masaharu Munetomo, Kiyoshi Akama
2008	J	`jnl`	Introducing assignment functions to Bayesian optimization algorithms. Inf. Sci. Masaharu Munetomo, Naoya Murao, Kiyoshi Akama
2008	—	`ch.`	Linkage Analysis in Genetic Algorithms. Computational Intelligence Paradigms Miwako Tsuji, Masaharu Munetomo
2008	—	`conf`	Model for dynamic grain sizing through compound parallelization for an optimization problem solving grid application. GRID Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama
2008	—	`ch.`	Parallel GEAs with Linkage Analysis over Grid. Linkage in Evolutionary Computation Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama
2008	—	`conf`	SOAG: Service Oriented Architectured Grids and adoption of application specific QoS attributes. GRID Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama
2008	C	`conf`	Solving Large Instances of Capacitated Vehicle Routing Problem over Cell BE. HPCC Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama
2007	—	`conf`	A Framework of GRID Problem-Solving Environment Employing Robust Evolutionary Search. EUROCAST Masaharu Munetomo, Asim Munawar, Kiyoshi Akama
2007	B	`conf`	A network design problem by a GA with linkage identification and recombination for overlapping building blocks. IEEE Congress on Evolutionary Computation Miwako Tsuji, Masaharu Munetomo, Kiyoshi Akama
2007	—	`conf`	An Intelligent Scatter with Estimation of Distribution for Tabu Search. EUROCAST Masaharu Munetomo, Yuta Satake, Kiyoshi Akama
2007	—	`ch.`	Genetic Algorithm to Optimize Fitness Function with Sampling Error and its Application to Financial Optimization Problem. Evolutionary Computation in Dynamic and Uncertain Environments Masaru Tezuka, Masaharu Munetomo, Kiyoshi Akama
2007	C	`conf`	MHGrid: Towards an Ideal Optimization Environment for Global Optimization Problems Using Grid Computing. PDCAT Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama
2007	B	`conf`	Optimization problem solving framework employing GAs with linkage identification over a grid environment. IEEE Congress on Evolutionary Computation Asim Munawar, Masaharu Munetomo, Kiyoshi Akama
2006	A	`conf`	A crossover for complex building blocks overlapping. GECCO Miwako Tsuji, Masaharu Munetomo, Kiyoshi Akama
2006	B	`conf`	Enhancing Model-building Efficiency in Extended Compact Genetic Algorithms. SMC Masaharu Munetomo, Yuta Satake, Kiyoshi Akama
2006	B	`conf`	Genetic Algorithm to Optimize Fitness Function with Sampling Error and its Application to Financial Optimization Problem. IEEE Congress on Evolutionary Computation Masaru Tezuka, Masaharu Munetomo, Kiyoshi Akama, Masahiro Hiji
2006	J	`jnl`	Linkage Identification by Fitness Difference Clustering. Evol. Comput. Miwako Tsuji, Masaharu Munetomo, Kiyoshi Akama
2006	B	`conf`	Theoretical and Empirical Investigations on Difficulty in Structure Learning by Estimation of Distribution Algorithms. SMC Miwako Tsuji, Masaharu Munetomo, Kiyoshi Akama
2005	B	`conf`	Empirical studies on parallel network construction of Bayesian optimization algorithms. Congress on Evolutionary Computation Masaharu Munetomo, Naoya Murao, Kiyoshi Akama
2005	B	`conf`	Linkage identification for real-valued loci by fitness difference classification. Congress on Evolutionary Computation Miwako Tsuji, Masaharu Munetomo, Kiyoshi Akama
2005	A	`conf`	Population Sizing of Dependency Detection by Fitness Difference Classification. FOGA Miwako Tsuji, Masaharu Munetomo, Kiyoshi Akama
2004	J	`jnl`	Designing a distributed algorithm for bandwidth allocation with a genetic algorithm. Syst. Comput. Jpn. Hidehiro Kobayashi, Masaharu Munetomo, Kiyoshi Akama, Yoshiharu Sato
2004	A	`conf`	Empirical Investigations on Parallelized Linkage Identification. PPSN Masaharu Munetomo, Naoya Murao, Kiyoshi Akama
2004	—	`conf`	Linkage Identification by Nonlinearity Check for Real-Coded Genetic Algorithms. GECCO (2) Masaru Tezuka, Masaharu Munetomo, Kiyoshi Akama
2004	—	`conf`	Modeling Dependencies of Loci with String Classification According to Fitness Differences. GECCO (2) Miwako Tsuji, Masaharu Munetomo, Kiyoshi Akama
2003	A	`conf`	A Parallel Genetic Algorithm Based on Linkage Identification. GECCO Masaharu Munetomo, Naoya Murao, Kiyoshi Akama
2003	A	`conf`	Metropolitan Area Network Design Using GA Based on Hierarchical Linkage Identification. GECCO Miwako Tsuji, Masaharu Munetomo, Kiyoshi Akama
2002	—	`conf`	A Foundation for Algorithm Generation by Transforming Meta-Descriptions. FSKD Yuichi Yamamoto, Kiyoshi Akama, Masaharu Munetomo, Takahiko Ishikawa
2002	B	`conf`	Linkage identification based on epistasis measures to realize efficient genetic algorithms. IEEE Congress on Evolutionary Computation Masaharu Munetomo
2001	B	`conf`	Empirical investigations on the genetic adaptive routing algorithm in the Internet. CEC Masaharu Munetomo, Naohiko Yamaguchi, Kiyoshi Akama, Yoshiharu Sato
1999	J	`jnl`	Linkage Identification by Non-monotonicity Detection for Overlapping Functions. Evol. Comput. Masaharu Munetomo, David E. Goldberg
1998	B	`conf`	A migration scheme for the genetic adaptive routing algorithm. SMC Masaharu Munetomo, Yoshiaki Takai, Yoshiharu Sato
1997	—	`conf`	An Adaptive Network Routing Algorithm Employing Path Genetic Operators. ICGA Masaharu Munetomo, Yoshiaki Takai, Yoshiharu Sato
1997	—	`conf`	An Intelligent Network Routing Algorithm by a Genetic Algorithm. ICONIP (1) Masaharu Munetomo, Yoshiaki Takai, Yoshiharu Sato
1996	A	`conf`	Genetic-Based Dynamic Load Balancing: Implementation and Evaluation. PPSN Masaharu Munetomo, Yoshiaki Takai, Yoshiharu Sato
1996	J	`jnl`	StGA: An application of a genetic algorithm to stochastic learning automata. Syst. Comput. Jpn. Masaharu Munetomo, Yoshiaki Takai, Yoshiharu Sato
1994	—	`conf`	A Genetic Approach to Dynamic Load Balancing in a Distributed Computing System. International Conference on Evolutionary Computation Masaharu Munetomo, Yoshiaki Takai, Yoshiharu Sato
1993	—	`conf`	An Efficient Migration Scheme for Subpopulation-Based Asynchronously Parallel Genetic Algorithms. ICGA Masaharu Munetomo, Yoshiaki Takai, Yoshiharu Sato