In this work we present an overview of the most prominent population-based algorithms and the methodologies used to extend them to multiple objective problems. Although not exact in …
EG Talbi - John Wiley & Sons google schola, 2009 - books.google.com
A unified view of metaheuristics This book provides a complete background on metaheuristics and shows readers how to design and implement efficient algorithms to solve …
Abstract This paper presents Natural Evolution Strategies (NES), a recent family of black-box optimization algorithms that use the natural gradient to update a parameterized search …
K Sastry, D Goldberg, G Kendall - Search methodologies: Introductory …, 2005 - Springer
Chapter 4 GENETIC ALGORITHMS Page 1 Chapter 4 GENETIC ALGORITHMS Kumara Sastry, David Goldberg University of Illinois, USA Graham Kendall University of Nottingham, UK 4.1 …
P Pospichal, J Jaros, J Schwarz - European conference on the …, 2010 - Springer
This paper deals with the mapping of the parallel island-based genetic algorithm with unidirectional ring migrations to nVidia CUDA software model. The proposed mapping is …
The field of natural computing has been the focus of a substantial research effort in recent decades. One particular strand of this concerns the development of computational …
T Lust, J Teghem - International Transactions in Operational …, 2012 - Wiley Online Library
The knapsack problem (KP) and its multidimensional version (MKP) are basic problems in combinatorial optimization. In this paper, we consider their multiobjective extension (MOKP …
The aim of this paper is two-fold. First, we introduce a novel general estimation of distribution algorithm to deal with permutation-based optimization problems. The algorithm is based on …
D Thierens, PAN Bosman - Proceedings of the 13th annual conference …, 2011 - dl.acm.org
A key search mechanism in Evolutionary Algorithms is the mixing or juxtaposing of partial solutions present in the parent solutions. In this paper we look at the efficiency of mixing in …