Multi-Objective Optimization Using Evolutionary Algorithms
Multi-Objective Optimization Using Evolutionary Algorithms
Evolutionary Algorithms for Solving Multi-Objective Problems
Evolutionary Algorithms for Solving Multi-Objective Problems
Agent-Oriented Model of Simulated Evolution
SOFSEM '02 Proceedings of the 29th Conference on Current Trends in Theory and Practice of Informatics: Theory and Practice of Informatics
Search space reduction technique for constrained optimization with tiny feasible space
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Co-evolutionary Multi-agent System with Predator-Prey Mechanism for Multi-objective Optimization
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part I
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part I
An agent-based memetic algorithm (AMA) for nonlinear optimization with equality constraints
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
An evolutionary agent system for mathematical programming
ISICA'07 Proceedings of the 2nd international conference on Advances in computation and intelligence
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The paper presents some modification of the idea of an evolutionary multi-agent system for multiobjective optimization, dealing simultaneously with the stagnation of evolutionary process and the loss of agents representing high-quality solutions. The main mechanisms proposed follow the idea of elitist operators known from classical evolutionary algorithms, yet in this case the elite does not take part in the evolutionary process. Some preliminary results based on a typical multi-objective problem presenting the most important features of the proposed approach are also discussed.