Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Intelligent Optimisation Techniques: Genetic Algorithms, Tabu Search, Simulated Annealing and Neural Networks
International Journal of Bio-Inspired Computation
Particle swarm optimisation algorithm with forgetting character
International Journal of Bio-Inspired Computation
Modified PSO and wavelet transform-based fault classification on transmission systems
International Journal of Bio-Inspired Computation
PSO and ACO in optimization problems
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
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In this paper we present a hybrid evaluation method in order to realise precision measurement of parts, based on the analysis of existent evaluation methods for form and position errors. The hybrid global optimisation algorithm based on particle swarm optimisation and chaos search method is proposed. The optimum model and the calculation process are introduced, where the parallelism error is discussed. The hybrid optimisation algorithm can improve the efficiency and accuracy of searching in the whole field by gradually shrinking the area of optimisation variable. Finally, a control experiment is carried out, and the calculation results by using different method, such as the least square, simplex search, Powell optimum methods and GA, show that the hybrid evaluation method is feasible and satisfactory in the errors evaluation.