Noisy evolutionary optimization algorithms–a comprehensive survey

P Rakshit, A Konar, S Das - Swarm and Evolutionary Computation, 2017 - Elsevier
Noisy optimization is currently receiving increasing popularity for its widespread applications
in engineering optimization problems, where the objective functions are often found to be …

An overview of population-based algorithms for multi-objective optimisation

I Giagkiozis, RC Purshouse… - International Journal of …, 2015 - Taylor & Francis
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 …

[引用][C] Metaheuristics: From Design to Implementation

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 …

[PDF][PDF] Natural evolution strategies

D Wierstra, T Schaul, T Glasmachers, Y Sun… - The Journal of Machine …, 2014 - jmlr.org
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 …

Genetic algorithms

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 …

Parallel genetic algorithm on the cuda architecture

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 …

[图书][B] Natural computing algorithms

A Brabazon, M O'Neill, S McGarraghy - 2015 - Springer
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 …

The multiobjective multidimensional knapsack problem: a survey and a new approach

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 …

A distance-based ranking model estimation of distribution algorithm for the flowshop scheduling problem

J Ceberio, E Irurozki, A Mendiburu… - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
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 …

Optimal mixing evolutionary algorithms

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 …