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 …
A review on constraint handling techniques for population-based algorithms: from single-objective to multi-objective optimization
I Rahimi, AH Gandomi, F Chen… - Archives of Computational …, 2023 - Springer
Most real-world problems involve some type of optimization problems that are often
constrained. Numerous researchers have investigated several techniques to deal with …
constrained. Numerous researchers have investigated several techniques to deal with …
Water cycle algorithm–A novel metaheuristic optimization method for solving constrained engineering optimization problems
This paper presents a new optimization technique called water cycle algorithm (WCA) which
is applied to a number of constrained optimization and engineering design problems. The …
is applied to a number of constrained optimization and engineering design problems. The …
Bat algorithm: a novel approach for global engineering optimization
XS Yang, A Hossein Gandomi - Engineering computations, 2012 - emerald.com
Purpose–Nature‐inspired algorithms are among the most powerful algorithms for
optimization. The purpose of this paper is to introduce a new nature‐inspired metaheuristic …
optimization. The purpose of this paper is to introduce a new nature‐inspired metaheuristic …
Mine blast algorithm: A new population based algorithm for solving constrained engineering optimization problems
A novel population-based algorithm based on the mine bomb explosion concept, called the
mine blast algorithm (MBA), is applied to the constrained optimization and engineering …
mine blast algorithm (MBA), is applied to the constrained optimization and engineering …
[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 …
An efficient constraint handling method for genetic algorithms
K Deb - Computer methods in applied mechanics and …, 2000 - Elsevier
Many real-world search and optimization problems involve inequality and/or equality
constraints and are thus posed as constrained optimization problems. In trying to solve …
constraints and are thus posed as constrained optimization problems. In trying to solve …
[图书][B] Genetic algorithms and engineering optimization
A comprehensive guide to a powerful new analytical tool by two of its foremost innovators
The past decade has witnessed many exciting advances in the use of genetic algorithms …
The past decade has witnessed many exciting advances in the use of genetic algorithms …
Parameter control in evolutionary algorithms
ÁE Eiben, R Hinterding… - IEEE Transactions on …, 1999 - ieeexplore.ieee.org
The issue of controlling values of various parameters of an evolutionary algorithm is one of
the most important and promising areas of research in evolutionary computation: it has a …
the most important and promising areas of research in evolutionary computation: it has a …
A new meta-heuristic algorithm for continuous engineering optimization: harmony search theory and practice
KS Lee, ZW Geem - Computer methods in applied mechanics and …, 2005 - Elsevier
Most engineering optimization algorithms are based on numerical linear and nonlinear
programming methods that require substantial gradient information and usually seek to …
programming methods that require substantial gradient information and usually seek to …