Constrained Multiobjective Equilibrium Optimizer Algorithm for Solving Combined Economic Emission Dispatch Problem

This research implements a recent evolutionary-based algorithm of equilibrium optimizer to resolve the constrained combined economic emission dispatch problem. problem has two objective functions that represent minimizing generation costs and environmental pollution caused by generators. The proposed integrates dominant criteria for multiobjective allow decision-maker detect all Pareto boundaries In order save effort select best compromise alternative, cluster study was carried out minimize size boundary an acceptable size, representing characteristics main frontier. On other hand, in deal with infringement constraints, repair used preserve viability particles. is applied solve standard 30-bus IEEE system 6 generators validate its robustness efficiency produce well-distributed frontier Compared studies, good results solving are obtained reasonable reduced set found.