Evolutional algorithms in optimizing continuous function
Dongyang Chen · Shenyang Gongye Daxue xuebao · 2007
Optimum algorithm is a searching process based on a certain idea and mechanism to solve problem.The optimization design is also the usual problem in engineering,science research and economy management fields.Finding a proper algorithm is important due to the complexity,restriction,nonlinearity and multi-minimum of engineering problems.The evolutional algorithm includes genetic algorithm,chaos algorithm,ant algorithm,particle swarm algorithm,simulated annealing and so on.The basic concepts and characteristics of five optimization algorithms are introduced,and compared by optimizing several continuous functions to point out the disadvantages of these algorithms.