Multi-Objective Optimization Using Evolutionary Algorithms
Multi-Objective Optimization Using Evolutionary Algorithms
Multi-objective Co-operative Co-evolutionary Genetic Algorithm
PPSN VII Proceedings of the 7th International Conference on Parallel Problem Solving from Nature
Agent-Based Co-Operative Co-Evolutionary Algorithm for Multi-Objective Optimization
ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
Evolutionary system for generating investment strategies
Evo'08 Proceedings of the 2008 conference on Applications of evolutionary computing
Co-operative Co-evolutionary Approach to Multi-objective Optimization
HAIS '09 Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems
Multiobjective Evolutionary Algorithms for Portfolio Management: A comprehensive literature review
Expert Systems with Applications: An International Journal
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Co-evolutionary techniques makes it possible to apply evolutionary algorithms in the cases when it is not possible to formulate explicit fitness function. In the case of social and economic simulations such techniques provide us tools for modeling interactions between social or economic agents--especially when agent-based models of co-evolution are used. In this paper agent-based versions of multi-objective co-operative co-evolutionary algorithms are applied to portfolio optimization problem. The agent-based algorithms are compared with classical versions of SPEA2 and NSGA2 multi-objective evolutionary algorithms.