Modern Metaheuristics for Function Optimization Problem
作者： Marek Pilski , Pascal Bouvry , Franciszek Seredyński
关键词: Meta-optimization 、 Particle swarm optimization 、 Genetic algorithm 、 Computer science 、 Metaheuristic 、 Multi-swarm optimization 、 Parallel metaheuristic 、 Ant colony optimization algorithms 、 Derivative-free optimization 、 Mathematical optimization
摘要: This paper compares the behaviour of three metaheuristics for function optimization problem on a set classical functions handling lot number variables and known to be hard. The first algorithm described is Particle Swarm Optimization (PSO). second one based paradigm Artificial Immune System (AIS). Both algorithms are then compared with Genetic Algorithm (GA). New insights how these behave difficult objective provided.
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