This work investigates one multi-objective immune genetic algorithm to solve dynamic constrained single-objective multimodal optimization problems in terms of the concept of constraint-dominance and ...

About This repository features custom implementations of three genetic algorithms for multi-objective optimization: NSGA-II, SPEA2, and Simple GA. 🧬 Developed from scratch without libraries, these ...

Because of the complementarity of process planning and scheduling and the multi objectives requirement from the real-world production, the research of this paper focuses on the multi-objective ...

A Multi-Objective Genetic Algorithm (MOGA) designed to minimize the feature subset without compromising accuracy is a powerful approach for feature selection in machine learning and data analysis.

In this paper, we pose the goal programming problem as a multi-objective optimization problem of minimizing deviations from individual goals and then suggest an evolutionary optimization algorithm to ...

Alireza Sahebgharani, MULTI-OBJECTIVE LAND USE OPTIMIZATION THROUGH PARALLEL PARTICLE SWARM ALGORITHM, Journal of Urban and Environmental Engineering, Vol. 10, No. 1 (January to June 2016), pp. 42-49 ...