Add time:09/24/2019 Source:sciencedirect.com
This paper proposes an effective non-dominated moth-flame optimization algorithm (NS-MFO) method for solving multi-objective problems. Most of the multi-objective optimization algorithms use different search techniques inspired by different optimization techniques such as genetic algorithms, differential evolutions, particle swarm optimization, cuckoo search etc., but search techniques of recently developed metaheuristics have hardly been investigated. Non-dominated moth-flame optimization algorithm (NS-MFO) is based on the search technique of moth-flame optimization algorithm (MFO) algorithm and utilizes the elitist non-dominated sorting and crowding distance approach for obtaining different non domination levels and to preserve the diversity among the optimal set of solutions respectively. The effectiveness of the method is measured by implementing it on multi-objective benchmark problems and multi-objective engineering design problems with distinctive features. It is shown in this paper that this method effectively generates the Pareto front and also, this method is easy to implement and algorithmically simple.
We also recommend Trading Suppliers and Manufacturers of NS 102 (cas 136623-01-3). Pls Click Website Link as below: cas 136623-01-3 suppliers
About|Contact|Cas|Product Name|Molecular|Country|Encyclopedia
Message|New Cas|MSDS|Service|Advertisement|CAS DataBase|Article Data|Manufacturers | Chemical Catalog
©2008 LookChem.com,License: ICP
NO.:Zhejiang16009103
complaints:service@lookchem.com Desktop View