📢 Project Introduction This repository features custom implementations of three genetic algorithms for multi-objective optimization: NSGA-II (Non-dominated Sorting Genetic Algorithm II) SPEA2 ...
This repository contains an educational and runnable implementation of the NSGA-II (Non-dominated Sorting Genetic Algorithm II), one of the most popular evolutionary algorithms for solving ...
Abstract: This work presents an algorithm based on the Nondominated Sorting Genetic Algorithm II (NSGA-II) to solve multi-objective offline Multi-Robot Coverage Path Planning (MCPP) problems. The ...
A Hybrid Algorithm Based on NSGA-II and MOPSO for Multi-Objective Designs of Electromagnetic Devices
Abstract: In this article, a hybrid algorithm is proposed by combining the non-dominated sorting genetic algorithm (NSGA-II) with multi-objective particle swarm optimization (MOPSO) algorithm. The ...
Silicon Carbide (SiC) machining by traditional methods with regards to its high hardness is not possible. Electro Discharge Machining, among non-traditional machining methods, is used for machining of ...
ABSTRACT: In this paper a hybrid parallel multi-objective genetic algorithm is proposed for solving 0/1 knapsack problem. Multi-objective problems with non-convex and discrete Pareto front can take ...
Optimization of magnetic coupling mechanism is an important way to improve the performance of a dynamic wireless power transfer system. Inspired by the common radial magnetic core for circular coils, ...
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