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
Possibilities for Speeding Up the FE-Based Optimization of Electrical Machines—A Case Study
Gerd Bramerdorfer,Alexandru-Ciprian Zavoianu,Siegfried Silber,Edwin Lughofer,Wolfgang Amrhein +4 more
TL;DR: This paper is about basic and easily achievable measures, and techniques for a time-wise and computationally efficient exploration of the design space, and sophisticated emerging techniques for modeling machine characteristics by paring the number of required FE simulations down to the minimum and nonlinear modeling of the targets of the optimization scenario as functions of the designs parameters.
Journal ArticleDOI
Solving a bi-objective winner determination problem in a transportation procurement auction
Tobias Buer,Giselher Pankratz +1 more
TL;DR: A bi-objective branch-and-bound algorithm and eight variants of a multiobjective genetic algorithm that is able to find the optimal trade-off solutions in reasonable time and suggests that a well-balanced combination of genetic operators is crucial to obtain good solutions.
Proceedings ArticleDOI
Siblingrivalry: online autotuning through local competitions
Jason Ansel,Maciej Pacula,Yee Lok Wong,Cy Chan,Marek Olszewski,Una-May O'Reilly,Saman Amarasinghe +6 more
TL;DR: SiblingRivalry is presented, a new model for always-on online autotuning that allows parallel programs to continuously adapt and optimize themselves to their environment and often outperform the original algorithm that uses the entire system.
Journal ArticleDOI
Online Diversity Assessment in Evolutionary Multiobjective Optimization: A Geometrical Perspective
TL;DR: An online diversity metric that is inspired by the geometrical interpretation of convergence and diversity is proposed that is able to measure the diversity loss caused by any individual in the population.
Journal ArticleDOI
Process integration in energy and carbon intensive industries: An example of exploitation of optimization techniques and decision support
G. F. Porzio,Valentina Colla,Nicola Matarese,Gianluca Nastasi,Teresa Annunziata Branca,A. Amato,Barbara Fornai,Marco Vannucci,Massimo Bergamasco +8 more
TL;DR: In this article, the main sub-plants are modelled in order to calculate mass and energy balances in different scenarios of operation and then exploited within a multi-objective optimization problem, where cost and CO2 emissions are simultaneously minimised.