Theoretical and numerical constraint-handling techniques used with evolutionary algorithms: a survey of the state of the art
CAC Coello - Computer methods in applied mechanics and …, 2002 - Elsevier
This paper provides a comprehensive survey of the most popular constraint-handling
techniques currently used with evolutionary algorithms. We review approaches that go from …
techniques currently used with evolutionary algorithms. We review approaches that go from …
Multiobjective evolutionary algorithms: Analyzing the state-of-the-art
DA Van Veldhuizen, GB Lamont - Evolutionary computation, 2000 - ieeexplore.ieee.org
Solving optimization problems with multiple (often conflicting) objectives is, generally, a very
difficult goal. Evolutionary algorithms (EAs) were initially extended and applied during the …
difficult goal. Evolutionary algorithms (EAs) were initially extended and applied during the …
A survey on home energy management
Energy is a vital resource for human activities and lifestyle, powering important everyday
infrastructures and services. Currently, pollutant and non-renewable sources, such as fossil …
infrastructures and services. Currently, pollutant and non-renewable sources, such as fossil …
Constraint-handling in nature-inspired numerical optimization: past, present and future
E Mezura-Montes, CAC Coello - Swarm and Evolutionary Computation, 2011 - Elsevier
In their original versions, nature-inspired search algorithms such as evolutionary algorithms
and those based on swarm intelligence, lack a mechanism to deal with the constraints of a …
and those based on swarm intelligence, lack a mechanism to deal with the constraints of a …
[图书][B] Introduction to evolutionary computing
This is the second edition of our 2003 book. It is primarily a book for lecturers and graduate
and undergraduate students. To this group the book offers a thorough introduction to …
and undergraduate students. To this group the book offers a thorough introduction to …
[图书][B] Evolutionary algorithms for solving multi-objective problems
CAC Coello - 2007 - Springer
Problems with multiple objectives arise in a natural fashion in most disciplines and their
solution has been a challenge to researchers for a long time. Despite the considerable …
solution has been a challenge to researchers for a long time. Despite the considerable …
[图书][B] International Series in Operations Research & Management Science
FS Hillier, CC Price - 2001 - Springer
Conic optimization is a significant and thriving research area within the optimization
community. Conic optimization is the general class of problems concerned with optimizing a …
community. Conic optimization is the general class of problems concerned with optimizing a …
[图书][B] Computational intelligence: an introduction
AP Engelbrecht - 2007 - books.google.com
Computational Intelligence: An Introduction, Second Edition offers an in-depth exploration
into the adaptive mechanisms that enable intelligent behaviour in complex and changing …
into the adaptive mechanisms that enable intelligent behaviour in complex and changing …
Evolutionary algorithms for constrained parameter optimization problems
Z Michalewicz, M Schoenauer - Evolutionary computation, 1996 - direct.mit.edu
Evolutionary computation techniques have received a great deal of attention regarding their
potential as optimization techniques for complex numerical functions. However, they have …
potential as optimization techniques for complex numerical functions. However, they have …
[图书][B] Multiobjective evolutionary algorithms: classifications, analyses, and new innovations
DA Van Veldhuizen - 1999 - search.proquest.com
Although computational techniques for solving Multiobjective Optimization Problems (MOPs)
have been available for many years, the recent application of Evolutionary Algorithms (EAs) …
have been available for many years, the recent application of Evolutionary Algorithms (EAs) …