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 modules ...

Abstract: In order to solve the challenge of multi-objective optimization of automotive power train, in view of the shortcomings of the existing improved particle swarm optimization algorithm, an ...

Community detection has attracted growing interest, with multi-objective evolutionary algorithms proving to be highly competitive in this area. In this paper, a community detection method based on a ...

Tan Liu, Qinyun Yuan, Lina Wang, Yonggang Wang, Nannan Zhang, Multi-objective optimization for oil-gas production process based on compensation model of comprehensive energy consumption using improved ...

Alireza Sahebgharani, MULTI-OBJECTIVE LAND USE OPTIMIZATION THROUGH PARALLEL PARTICLE SWARM ALGORITHM, Journal of Urban and Environmental Engineering, ... (2010) Simulating multi-objective spatial ...

Keywords: multi-objective optimization, Gaussian process regression, genetic algorithm, machine learning, broiler chickens, feed optimization. Citation: Ahmadi H, Rodehutscord M and Siegert W (2023) ...