Multi-objective optimization using evolutionary algorithms

Multi-Objective Optimization Using Evolu

📁 Multi-Objective Optimization Using Evolutionary Algorithms

✍ Kalyanmoy Deb 📂 Library 📅 2001 🏛 Wiley 🌐 English

Evolutionary algorithms are relatively new, but very powerful techniques used to find solutions to many real-world search and optimization problems. Many of these problems have multiple objectives, which leads to the need to obtain a set of optimal solutions, known as effective solutions. It has bee

Multi-Objective Optimization Using Evolu

📁 Multi-Objective Optimization Using Evolutionary Algorithms

✍ Kalyanmoy Deb 📂 Library 📅 2001 🏛 Wiley 🌐 English

Evolutionary algorithms are relatively new, but very powerful techniques used to find solutions to many real-world search and optimization problems. Many of these problems have multiple objectives, which leads to the need to obtain a set of optimal solutions, known as effective solutions. It has bee

Evolutionary Multi-objective Optimizatio

📁 Evolutionary Multi-objective Optimization in Uncertain Environments: Issues and Algorithms

✍ Chi-Keong Goh, Kay Chen Tan (auth.) 📂 Library 📅 2009 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

Applications of multi-objective evolutio

📁 Applications of multi-objective evolutionary algorithms

✍ Carlos A Coello Coello; Gary B Lamont 📂 Library 📅 2004 🏛 World Scientific 🌐 English

Archiving Strategies for Evolutionary Mu

📁 Archiving Strategies for Evolutionary Multi-objective Optimization Algorithms (Studies in Computational Intelligence, 938)

✍ Oliver Schütze, Carlos Hernández 📂 Library 📅 2021 🏛 Springer 🌐 English

<div><p>This book presents an overview of archiving strategies developed over the last years by the authors that deal with suitable approximations of the sets of optimal and nearly optimal solutions of multi-objective optimization problems by means of stochastic search algorithms. All presented arch

Application of Evolutionary Algorithms f

📁 Application of Evolutionary Algorithms for Multi-objective Optimization in VLSI and Embedded Systems

✍ M.C. Bhuvaneswari (eds.) 📂 Library 📅 2015 🏛 Springer India 🌐 English

<p>This book describes how evolutionary algorithms (EA), including genetic algorithms (GA) and particle swarm optimization (PSO) can be utilized for solving multi-objective optimization problems in the area of embedded and VLSI system design. Many complex engineering optimization problems can be mod