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 …
A voting-mechanism-based ensemble framework for constraint handling techniques
Effective constraint handling techniques (CHTs) are of great significance for evolutionary
algorithms (EAs) dealing with constrained optimization problems (COPs). To date, many …
algorithms (EAs) dealing with constrained optimization problems (COPs). To date, many …
Controller tuning using evolutionary multi-objective optimisation: current trends and applications
Control engineering problems are generally multi-objective problems; meaning that there
are several specifications and requirements that must be fulfilled. A traditional approach for …
are several specifications and requirements that must be fulfilled. A traditional approach for …
A general framework of dynamic constrained multiobjective evolutionary algorithms for constrained optimization
A novel multiobjective technique is proposed for solving constrained optimization problems
(COPs) in this paper. The method highlights three different perspectives: 1) a COP is …
(COPs) in this paper. The method highlights three different perspectives: 1) a COP is …
Cε-LDE: A lightweight variant of differential evolution algorithm with combined ε constrained method and Lévy flight for constrained optimization problems
Differential evolution (DE) algorithm is popular to tackle real-world optimization problems.
The standard DE, however, is not able to solve constrained optimization problems (COPs) …
The standard DE, however, is not able to solve constrained optimization problems (COPs) …
[PDF][PDF] 约束优化进化算法综述
李智勇， 黄滔， 陈少淼， 李仁发 - 软件学报, 2017 - jos.org.cn
约束优化进化算法主要研究如何利用进化计算方法求解约束优化问题, 是进化计算领城的一个
重要研究课题. 约束优化问题求解存在约束区域离散, 等式约束, 非线性约束等挑战 …
重要研究课题. 约束优化问题求解存在约束区域离散, 等式约束, 非线性约束等挑战 …
Using multi-objective evolutionary algorithms for single-objective constrained and unconstrained optimization
In recent decades, several multi-objective evolutionary algorithms have been successfully
applied to a wide variety of multi-objective optimization problems. Along the way, several …
applied to a wide variety of multi-objective optimization problems. Along the way, several …
Using multi-objective evolutionary algorithms for single-objective optimization
In recent decades, several multi-objective evolutionary algorithms have been successfully
applied to a wide variety of multi-objective optimization problems. Along the way, several …
applied to a wide variety of multi-objective optimization problems. Along the way, several …
Overview of constrained optimization evolutionary algorithms
李智勇， 黄滔， 陈少淼， 李仁发 - Journal of Software, 2017 - jos.org.cn
约束优化进化算法主要研究如何利用进化计算方法求解约束优化问题, 是进化计算领城的一个
重要研究课题. 约束优化问题求解存在约束区域离散, 等式约束, 非线性约束等挑战 …
重要研究课题. 约束优化问题求解存在约束区域离散, 等式约束, 非线性约束等挑战 …