An effective hybrid search mode for multi-objective optimization with constraints

In this paper a new search strategy for multi-objective optimization (MOO) with constraints is proposed based on hybrid mode (HSM). The processes feasible solutions and optimal are executed in mixed way the existing methods. With regard to HSM, proposed, which consists of two processes: Feasibility (FSM) (OSM). executions these modes independent relatively also adjusted according population distribution. early stage, FSM plays leading role exploring space since most individuals infeasible. increase individuals, OSM primary operation individuals. method simple implement need few extra parameter tuning. handing tested several problems constraints. remarkable results demonstrate its effectiveness good performance.