【摘要】 在利用人工鱼群算法求解约束问题时,处理好约束条件是取得好的优化效果的关键。引入了半可行域的概念,并结合人工鱼群算法(ArtificialFish-SwarmAlgorithm,AFSA)本身的特点,设计了基于竞争选择和惩罚函数的适应度函数,从而得到了一个利用ASFA算法求解约束优化问题的新的进化算法。实验证明了算法的有效性。更多还原

【Abstract】 In trying to solve constrained optimization problems by Artificial Fish-Swarm Algorithm(AFSA),the way to handle the constrained conditions is the key factor for success.In this paper,we introduce the concept of semi-feasible region.Making use of characteristics of artificial fish-swarm algorithm,we design the fitness function of evolutionary algorithm,which is based on tournament selection and penalty function.Then a new method is proposed,which means using the AFSA to solve constrained optimization problems.Numerical experiments demonstrate the effect of the method.更多还原