CAJ | 학술논문

结合基于可行性规则的约束处理技术,构造了一个求解约束优化问题的自适应杂交差分演化模拟退火算法.该算法以差分演化算法为基础,用模拟退火策略来增强种群的多样性,用一个基于可行性规则的约束处理技术来处理不等式约束,且自适应化关键控制参数,避开人为控制参数的困难.在标准测试集上的实验结果表明该算法的有效性,与同类算法的比较表明了该算法的优越性.
결합기우가행성규칙적약속처리기술,구조료일개구해약속우화문제적자괄응잡교차분연화모의퇴화산법.해산법이차분연화산법위기출,용모의퇴화책략래증강충군적다양성,용일개기우가행성규칙적약속처리기술래처리불등식약속,차자괄응화관건공제삼수,피개인위공제삼수적곤난.재표준측시집상적실험결과표명해산법적유효성,여동류산법적비교표명료해산법적우월성.
A self-adaptive hybrid differential evolution with simulated annealing algorithm using a constraint-handling approach based on feasibility rules,termed SahDESAfr.is proposed to solve real-parameter constrained optimization problems.In the SahDESAfr algorithm, the choice of learning strategy and several critical control parameters are not required to be pre-specified.During evolution, the suitable learning strategy and parameters setting are gradually self-adapted according to the learning experience.A simple constraint-handling approach based on feasibility rules is employed to deal with inequation constraints/The performance of the SahDESAfr algorithm is evaluated on a set of well-know constrained optimization problems commonly adopted in the specialized literature.The performance of the SahDESAfr is evaluated on the set of 13 benchmark functions.The proposed approach is compared with respect to two techniques that are representative of the state-of-the-art in the area.Comparative study exposes the SahDESAfr as a competitive algorithm for constrained optimization.