Mardé Helbig - RankMe

50 papers A 1B 9Journal 10Unranked 28

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Solving many-objective optimisation problems using partial dominance. Neural Comput. Appl. Mardé Helbig, Andries P. Engelbrecht
2024	B	`conf`	Dynamic Multi-objective Optimisation Problems with Changes of Varying Frequency and Severity. CEC Mardé Helbig
2024	—	`conf`	Visualising Found Solutions and Measures for Dynamic Multi-objective Optimisation. GECCO Companion Mardé Helbig
2023	J	`jnl`	Decision-Maker's Preference-Driven Dynamic Multi-Objective Optimization. Algorithms Adekunle Rotimi Adekoya, Mardé Helbig
2023	—	`conf`	Empirical Loss Landscape Analysis of Neural Network Activation Functions. GECCO Companion Anna Sergeevna Bosman, Andries P. Engelbrecht, Mardé Helbig
2023	J	`jnl`	Empirical Loss Landscape Analysis of Neural Network Activation Functions. CoRR Anna Sergeevna Bosman, Andries P. Engelbrecht, Mardé Helbig
2023	—	`ed.`	Robot Intelligence Technology and Applications 7 - Results from the 10th International Conference on Robot Intelligence Technology and Applications, RiTA 2022, Daejeon, South Korea, 7-9 December, 2022. RiTA Jun Jo, Han-Lim Choi, Mardé Helbig, Hyondong Oh, Jemin Hwangbo, Chang-Hun Lee, Bela Stantic
2022	—	`conf`	Cybersecurity Maturity Model Capability in Aviation and Railway Industry. ACIS Ojaswini Malhotra, Sharmistha Dey, Ernest Foo, Mardé Helbig
2021	—	`conf`	Cyber Security Maturity Model Capability at The Airports. ACIS Ojaswini Malhotra, Sharmistha Dey, Ernest Foo, Mardé Helbig
2021	—	`conf`	Dynamic multi-objective optimization: introduction, challenges, applications and future directions. GECCO Companion Mardé Helbig
2020	—	`conf`	Dynamic Multi-objective Optimisation Problems with Intertemporal Dependencies. GECCO Companion Bernard van Tonder, Mardé Helbig
2020	—	`conf`	Empirical Analysis of A Partial Dominance Approach to Many-Objective Optimisation. ISMSI Andries P. Engelbrecht, Mardé Helbig
2020	B	`conf`	Loss Surface Modality of Feed-Forward Neural Network Architectures. IJCNN Anna Sergeevna Bosman, Andries P. Engelbrecht, Mardé Helbig
2020	—	`conf`	Partial Dominance for Many-Objective Optimization. ISMSI Mardé Helbig, Andries P. Engelbrecht
2020	J	`jnl`	Visualising basins of attraction for the cross-entropy and the squared error neural network loss functions. Neurocomputing Anna Sergeevna Bosman, Andries P. Engelbrecht, Mardé Helbig
2020	—	`conf`	Weather Downtime Prediction in a South African Port Environment. SGAI Conf. Nyiko Cecil Musisinyani, Jacomine Grobler, Mardé Helbig
2019	B	`conf`	Effects of Decision Models on Dynamic Multi-objective Optimization Algorithms for Financial Markets. CEC Frederick Ditliac Atiah, Mardé Helbig
2019	J	`jnl`	Loss Surface Modality of Feed-Forward Neural Network Architectures. CoRR Anna Sergeevna Bosman, Andries P. Engelbrecht, Mardé Helbig
2019	—	`conf`	Performance of dynamic algorithms on the dynamic distance minimization problem. GECCO (Companion) Mardé Helbig, Heiner Zille, Mahrokh Javadi, Sanaz Mostaghim
2019	J	`jnl`	Visualising Basins of Attraction for the Cross-Entropy and the Squared Error Neural Network Loss Functions. CoRR Anna Sergeevna Bosman, Andries P. Engelbrecht, Mardé Helbig
2018	—	`conf`	Comparison of Constraint Handling Approaches in Multi-objective Optimization. ICAISC (1) Rohan Hemansu Chhipa, Mardé Helbig
2018	—	`conf`	Deriving Functions for Pareto Optimal Fronts Using Genetic Programming. ICAISC (1) Armand Maree, Marius Riekert, Mardé Helbig
2018	—	`conf`	Dynamic Particle Swarm Optimization for Financial Markets. SSCI Frederick Ditliac Atiah, Mardé Helbig
2018	J	`jnl`	Fitness Landscape Analysis of Weight-Elimination Neural Networks. Neural Process. Lett. Anna S. Bosman, Andries P. Engelbrecht, Mardé Helbig
2018	—	`conf`	Progressive gradient walk for neural network fitness landscape analysis. GECCO (Companion) Anna Sergeevna Bosman, Andries P. Engelbrecht, Mardé Helbig
2018	—	`conf`	Visualising the search process for multi-objective optimisation. GECCO (Companion) Mardé Helbig
2018	—	`conf`	Visualizing the Optimization Process for Multi-objective Optimization Problems. ICAISC (1) Bayanda Chakuma, Mardé Helbig
2017	—	`conf`	A differential evolution algorithm for dynamic multi-objective optimization. SSCI R. Adekoya Adekunle, Mardé Helbig
2017	—	`conf`	Solving Constrained Multi-objective Optimization Problems with Evolutionary Algorithms. ICSI (2) Frikkie Snyman, Mardé Helbig
2017	—	`conf`	Solving Inverse Kinematics with Vector Evaluated Particle Swarm Optimization. ICSI (1) Zühnja Riekert, Mardé Helbig
2016	—	`conf`	Heterogeneous Vector-Evaluated Particle Swarm Optimisation in Static Environments. ICSI (1) Dieter Doman, Mardé Helbig, Andries P. Engelbrecht
2016	B	`conf`	Key challenges and future directions of dynamic multi-objective optimisation. CEC Mardé Helbig, Kalyanmoy Deb, Andries P. Engelbrecht
2016	—	`conf`	Padding the dimensions for knowledge transfer in the dynamic vector evaluated particle swarm optimisation algorithm. SSCI Mardé Helbig
2016	—	`conf`	Search space boundaries in neural network error landscape analysis. SSCI Anna Sergeevna Bosman, Andries P. Engelbrecht, Mardé Helbig
2015	—	`conf`	Dynamic Vector-Evaluated PSO with Guaranteed Convergence in the Sub-Swarms. SSCI Mardé Helbig, Andries P. Engelbrecht
2015	B	`conf`	Influence of the archive size on the performance of the dynamic vector evaluated particle swarm optimisation algorithm solving dynamic multi-objective optimisation problems. CEC Mardé Helbig, Andries P. Engelbrecht
2015	A	`conf`	The Effect of Quantum and Charged Particles on the Performance of the Dynamic Vector-evaluated Particle Swarm Optimisation Algorithm. GECCO Mardé Helbig, Andries P. Engelbrecht
2015	—	`conf`	Updating the Global Best and Archive Solutions of the Dynamic Vector-Evaluated PSO Algorithm Using \epsilon ϵ -dominance. NaBIC Mardé Helbig
2015	—	`conf`	Using Headless Chicken Crossover for Local Guide Selection When Solving Dynamic Multi-objective Optimization. NaBIC Mardé Helbig, Andries P. Engelbrecht
2014	J	`jnl`	Benchmarks for dynamic multi-objective optimisation algorithms. ACM Comput. Surv. Mardé Helbig, Andries P. Engelbrecht
2014	B	`conf`	Heterogeneous dynamic vector evaluated particle swarm optimisation for dynamic multi-objective optimisation. IEEE Congress on Evolutionary Computation Mardé Helbig, Andries P. Engelbrecht
2014	J	`jnl`	Population-based metaheuristics for continuous boundary-constrained dynamic multi-objective optimisation problems. Swarm Evol. Comput. Mardé Helbig, Andries P. Engelbrecht
2014	—	`conf`	Using heterogeneous knowledge sharing strategies with dynamic vector-evaluated particle swarm optimisation. SIS Mardé Helbig, Andries P. Engelbrecht
2013	B	`conf`	Analysing the performance of dynamic multi-objective optimisation algorithms. IEEE Congress on Evolutionary Computation Mardé Helbig, Andries P. Engelbrecht
2013	—	`conf`	Benchmarks for dynamic multi-objective optimisation. CIDUE Mardé Helbig, Andries P. Engelbrecht
2013	—	`ch.`	Dynamic Multi-Objective Optimization Using PSO. Metaheuristics for Dynamic Optimization Mardé Helbig, Andries P. Engelbrecht
2013	—	`conf`	Issues with performance measures for dynamic multi-objective optimisation. CIDUE Mardé Helbig, Andries P. Engelbrecht
2013	J	`jnl`	Performance measures for dynamic multi-objective optimisation algorithms. Inf. Sci. Mardé Helbig, Andries P. Engelbrecht
2012	B	`conf`	Analyses of guide update approaches for vector evaluated particle swarm optimisation on dynamic multi-objective optimisation problems. IEEE Congress on Evolutionary Computation Mardé Helbig, Andries P. Engelbrecht
2011	B	`conf`	Archive management for dynamic multi-objective optimisation problems using vector evaluated particle swarm optimisation. IEEE Congress on Evolutionary Computation Mardé Helbig, Andries P. Engelbrecht