Open Access
SPEA2: Improving the Strength Pareto Evolutionary Algorithm For Multiobjective Optimization
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The article was published on 2002-01-01 and is currently open access. It has received 1972 citations till now. The article focuses on the topics: Pareto principle & Multi-objective optimization.read more
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Journal ArticleDOI
An efficient scheduling approach for an iron-steel plant equipped with self-generation equipment under time-of-use electricity tariffs
TL;DR: A real-life case study from a Chinese iron-steel plant equipped with self-generation equipment demonstrates that the proposed methods can provide a high-quality scheduling scheme and the total electricity cost can be significantly reduced.
Proceedings ArticleDOI
An informed convergence accelerator for evolutionary multiobjective optimiser
TL;DR: The purpose of the new component termed as the Informed Convergence Accelerator (ICA) is to enhance the search capability, convergence extent and most especially the speed of convergence of the hosting stochastic global optimisation technique.
Journal ArticleDOI
Multi-objective adaptive evolutionary strategy for tuning compilations
Antonio Martínez-Álvarez,Jorge Calvo-Zaragoza,Sergio Cuenca-Asensi,Andrés Ortiz,Antonio Jimeno-Morenilla +4 more
TL;DR: A strategy based on the use of a genetic algorithm and a multi-objective scheme is proposed to deal with tuning compilations, which has shown an ability to markedly speed-up the convergence of the original strategy.
Journal ArticleDOI
∊-constraint heat transfer search (∊-HTS) algorithm for solving multi-objective engineering design problems
TL;DR: An effective ∊-constraint heat transfer search (∊-HTS) algorithm for the multi-objective engineering design problems is presented and numerical experimentation shows that the proposed algorithm generates the solution to represent true Pareto front.
Journal ArticleDOI
Evolutionary Multiobjective Design in Automotive Development
Marco Laumanns,Nando Laumanns +1 more
TL;DR: This paper describes the use of evolutionary algorithms to solve multiobjective optimization problems arising at different stages in the automotive design process, and explores the three following case studies: design space exploration of road trains, parameter optimization of adaptive cruise controllers, and multiobjectives system identification.