Evolution and Optimum Seeking: The Sixth Generation
Evolution and Optimum Seeking: The Sixth Generation
Multi-Objective Optimization Using Evolutionary Algorithms
Multi-Objective Optimization Using Evolutionary Algorithms
Contemporary Evolution Strategies
Proceedings of the Third European Conference on Advances in Artificial Life
A Spatial Predator-Prey Approach to Multi-objective Optimization: A Preliminary Study
PPSN V Proceedings of the 5th International Conference on Parallel Problem Solving from Nature
A Variant of Evolution Strategies for Vector Optimization
PPSN I Proceedings of the 1st Workshop on Parallel Problem Solving from Nature
Spatially Structured Evolutionary Algorithms: Artificial Evolution in Space and Time (Natural Computing Series)
Using predators and preys in evolution strategies
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Inside a predator-prey model for multi-objective optimization: a second study
Proceedings of the 8th annual conference on Genetic and evolutionary computation
An overview of evolutionary algorithms for parameter optimization
Evolutionary Computation
A real-coded predator-prey genetic algorithm for multiobjective optimization
EMO'03 Proceedings of the 2nd international conference on Evolutionary multi-criterion optimization
Self-adaptation for multi-objective evolutionary algorithms
EMO'03 Proceedings of the 2nd international conference on Evolutionary multi-criterion optimization
Proceedings of the 9th annual conference on Genetic and evolutionary computation
The Parallel Predator-Prey Model: A Step towards Practical Application
Proceedings of the 10th international conference on Parallel Problem Solving from Nature: PPSN X
Adapting to the Habitat: On the Integration of Local Search into the Predator-Prey Model
EMO '09 Proceedings of the 5th International Conference on Evolutionary Multi-Criterion Optimization
PEPPA: a project for evolutionary predator prey algorithms
Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers
Simulated evolution under multiple criteria conditions revisited
WCCI'08 Proceedings of the 2008 IEEE world conference on Computational intelligence: research frontiers
Integrating niching into the predator-prey model using epsilon-constraints
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
Parallel predator---prey interaction for evolutionary multi-objective optimization
Natural Computing: an international journal
Multi-criteria scheduling: an agent-based approach for expert knowledge integration
Journal of Scheduling
| Hi-index | 0.00 |
In this paper, we propose a new conceptual method for the design, investigation, and evaluation of multi-objective variation operators for evolutionary multi-objective algorithms. To this end, we apply a modified predator-prey model that allows an independent analysis of different operators. Using this model problem specific operators can be combined to more complex operators. Additionally, we review the simplex recombination, a new rotation-independent recombination scheme, and examine its impact concerning our design method. We show exemplarily as a first attempt the advantageous combination of several standard variation operators that lead to better results for selected test functions.