Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
The Byzantine Generals Problem
ACM Transactions on Programming Languages and Systems (TOPLAS)
Neutrality in fitness landscapes
Applied Mathematics and Computation
Artificial Life III
Sizing Populations for Serial and Parallel Genetic Algorithms
Proceedings of the 3rd International Conference on Genetic Algorithms
Proceedings of the 3rd International Conference on Genetic Algorithms
An analysis of the behavior of a class of genetic adaptive systems.
An analysis of the behavior of a class of genetic adaptive systems.
Computational complexity and the genetic algorithm
Computational complexity and the genetic algorithm
Introduction to Evolutionary Computing
Introduction to Evolutionary Computing
Ant Colony Optimization
The Geometry of Evolution: Adaptive Landscapes and Theoretical Morphospaces
The Geometry of Evolution: Adaptive Landscapes and Theoretical Morphospaces
Theoretical Ecology: Principles and Applications
Theoretical Ecology: Principles and Applications
The gambler's ruin problem, genetic algorithms, and the sizing of populations
Evolutionary Computation
Dynamic populations in genetic algorithms
Proceedings of the 2008 ACM symposium on Applied computing
New approaches to reliability and survivability with survival analysis, dynamic hybrid fault models, and evolutionary game theory
AICI '09 Proceedings of the International Conference on Artificial Intelligence and Computational Intelligence
AICI '09 Proceedings of the International Conference on Artificial Intelligence and Computational Intelligence
No free lunch theorems for optimization
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Evolutionary Computation
Rank-density-based multiobjective genetic algorithm and benchmark test function study
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Evolutionary Computation
Making use of population information in evolutionary artificialneural networks
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Chaotic populations in genetic algorithms
Applied Soft Computing
Population resizing using nonlinear dynamics in an ecology-based approach
IDEAL'12 Proceedings of the 13th international conference on Intelligent Data Engineering and Automated Learning
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In a classic monograph titled Ecological Theatre and Evolutionary Play, Hutchinson (1966) tried to 'break' the genetics dominance over the study of evolution and emphasised that natural selection happens in the context of environment. His vision clearly indicated the inseparability between evolution and ecology. In other words, without ecological 'theatre', natural selection has no place to act and evolution cannot happen. Perhaps following a similar development trajectory of evolutionary study in biology, much of the evolutionary computing (EC) has been inspired by genetics-centred evolutionary theory. The major objective of this paper is to suggest and review some inspirations from several fields of population ecology and evolutionary ecology to evolutionary computing (EC). A minor one is to demonstrate that, at least in the case of EC population size setting, the dynamic population, which is inspired by the natural population dynamics, indeed outperforms the traditional fixed-size population in the genetic algorithms (GA).