In this paper we present a multi-optimization technique based on genetic algorithms to search optimal cuttings parameters such as cutting depth, feed rate and cutting speed of multi-pass turning ...

Therefore this is a multi-objective optimization problem. There are two approaches to multi-objective optimization using genetic algorithms: weighted cost functions and finding the Pareto front. We ...

In fact, finding several feature subsets reflecting a trade off among several objective criteria is more beneficial as it provides the users a broad choice for feature subset selection. Thus, in order ...

Image Segmentation using a Multi-Objective Genetic Algorithm (NSGA-II) - brandhaug/image-segmentation-multi-objective-genetic-algorithm. ... Multi-objective optimization is an area of multiple ...

Multi-objective optimisation using evolutionary algorithms constitutes a powerful computational framework that addresses complex problems involving conflicting objectives. By emulating natural ...

In this paper we present a multi-optimization technique based on genetic algorithms to search optimal cuttings parameters such as cutting depth, feed rate and cutting speed of multi-pass turning ...