Annals of Operations Research, Год журнала: 2025, Номер unknown

Опубликована: Июнь 2, 2025

Abstract In multiobjective optimization scenarios, the challenge lies in balancing several conflicting objectives; classic methods, which focus on a single measurable criterion, do not adequately address this issue. The existing approaches have aimed to improve efficiency of solving such problems, but finding an optimal solution across multiple objectives remains complex. This paper proposes new algorithm that first optimizes each objective function individually, using resulting solutions as targets for further refinement. Through ideal programming scheme, minimizes deviations from these set goals. proposed is used solve case study. results derived testing demonstrate its superior performance relative other compared methods all objectives.

Язык: Английский