Index Terms
- Graybox optimization and next generation genetic algorithms
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Bacterial foraging optimisation algorithm, particle swarm optimisation and genetic algorithm: a comparative study
Nature inspired meta-heuristic algorithms have been widely used in order to find efficient solutions for optimisation problems, and granted results have been achieved. Particle swarm optimisation PSO algorithm is one of the most utilised algorithms in ...
Generation of Particle Swarm Optimization algorithms
Display Omitted The PSO performance depends on the fine tuning of different parametersWe contrasted the performance of four well-known GGGP approaches to evolve PSO algorithmsExperiments were performed on 32 optimization problems with different levels ...
Terrain generation using genetic algorithms
GECCO '05: Proceedings of the 7th annual conference on Genetic and evolutionary computationWe propose a method for applying genetic algorithms to create 3D terrain data sets. Existing procedural algorithms for generation of terrain have several shortcomings. The most popular approach, fractal-based terrain generation, is efficient, but is ...
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