Multi-Objective ABC-NM Algorithm for Multi-Dimensional Combinatorial Optimization Problem

This article addresses the problem of converting a single-objective combinatorial into multi-objective one using Pareto front approach. Although existing algorithms can identify optimal solution in space, they fail to satisfy constraints while achieving performance. To address this issue, we propose artificial bee colony optimization algorithm with classical theme called fitness sharing. approach helps convergence set towards single that satisfies multiple objectives. introduces an example non-dominated sequencing technique and sharing The experimentation is carried out MATLAB 2018a. In addition, applied proposed two different real-time datasets, namely knapsack nurse scheduling (NSP). outcome MBABC-NM evaluated standard performance indicators such as average distance, number reference solutions (NRS), overall count attained (TNS), generation volume (ONGV). results show it outperforms other algorithms.