Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
An introduction to software agents
Software agents
On agent-based software engineering
Artificial Intelligence
Introduction to Multiagent Systems
Introduction to Multiagent Systems
Comparing Synchronous and Asynchronous Cellular Genetic Algorithms
PPSN VII Proceedings of the 7th International Conference on Parallel Problem Solving from Nature
Asynchronous collaborative search using adaptive co-evolving subpopulations
Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers
An agent-based memetic algorithm (AMA) for nonlinear optimization with equality constraints
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Asynchronous evolutionary search: multi-population collaboration and complex dynamics
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Asymptotic analysis of computational multi-agent systems
PPSN'10 Proceedings of the 11th international conference on Parallel problem solving from nature: Part I
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Evolutionary algorithms require efficient recombination and selection mechanisms in order to produce high-quality solutions. In order to guide recombination a geometrical structure of the population is introduced. The aim of this paper is to explore connections between population geometry and individual interactions inducing autonomy, communication and reactivity. Each individual in the population acts as an autonomous agent with the goal of optimizing its fitness. In this process, each individual is able to communicate and select a mate for recombination. The introduced paradigm is illustrated by an evolutionary technique relying on a new population model and agent-based selection for recombination strategy. Search operators are asynchronously applied making the proposed approach more realistic. Numerical experiments indicate the potential of the proposed evolutionary agent-driven technique.