Author name used in this publication: S. L. Ho2007-2008 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe
Modern engineering requires finding an optimal trade-off point among conflicting requirements that m...
Preference articulation in multi-objective optimization could be used to improve the pertinency of s...
Cheng R, Olhofer M, Jin Y. Reference vector based a posteriori preference articulation for evolution...
This paper proposes a method to use reference points as preferences to guide a particle swarm algori...
Author name used in this publication: S. L. HoAuthor name used in this publication: Edward W. C. LoA...
This is the author accepted manuscript. The final version is available from IEEE via the DOI in this...
Engineering design is filled with tradeoffs between competing objectives such as performance, mass, ...
Conventional multi-objective Particle Swarm Optimization (PSO) algorithms aim to find a representati...
This paper proposes a method to solve multi-objective problems using improved Particle Swarm Optimiz...
Copyright © 2014 Kian Sheng Lim et al.This is an open access article distributed under theCreative C...
This paper presents a comprehensive review of a multi-objective particle swarm optimization (MOPSO) ...
Optimisation problems occur in many situations and aspects of modern life. In reality, many of these...
While a wealth of endeavors in optimization studies are devoted to the realization of the two ultima...
The vector evaluated particle swarm optimisation (VEPSO) algorithm was previously improved by incorp...
Multiobjective evolutionary algorithms based on decomposition (MOEA/Ds) represent a class of widely ...
Modern engineering requires finding an optimal trade-off point among conflicting requirements that m...
Preference articulation in multi-objective optimization could be used to improve the pertinency of s...
Cheng R, Olhofer M, Jin Y. Reference vector based a posteriori preference articulation for evolution...
This paper proposes a method to use reference points as preferences to guide a particle swarm algori...
Author name used in this publication: S. L. HoAuthor name used in this publication: Edward W. C. LoA...
This is the author accepted manuscript. The final version is available from IEEE via the DOI in this...
Engineering design is filled with tradeoffs between competing objectives such as performance, mass, ...
Conventional multi-objective Particle Swarm Optimization (PSO) algorithms aim to find a representati...
This paper proposes a method to solve multi-objective problems using improved Particle Swarm Optimiz...
Copyright © 2014 Kian Sheng Lim et al.This is an open access article distributed under theCreative C...
This paper presents a comprehensive review of a multi-objective particle swarm optimization (MOPSO) ...
Optimisation problems occur in many situations and aspects of modern life. In reality, many of these...
While a wealth of endeavors in optimization studies are devoted to the realization of the two ultima...
The vector evaluated particle swarm optimisation (VEPSO) algorithm was previously improved by incorp...
Multiobjective evolutionary algorithms based on decomposition (MOEA/Ds) represent a class of widely ...
Modern engineering requires finding an optimal trade-off point among conflicting requirements that m...
Preference articulation in multi-objective optimization could be used to improve the pertinency of s...
Cheng R, Olhofer M, Jin Y. Reference vector based a posteriori preference articulation for evolution...
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