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

✍ Scribed by Chi-Keong Goh, Kay Chen Tan (auth.)

Publisher: Springer-Verlag Berlin Heidelberg
Year: 2009
Tongue: English
Leaves: 269
Series: Studies in Computational Intelligence 186
Edition: 1
Category: Library

⬇ Acquire This Volume

No coin nor oath required. For personal study only.

✦ Subjects

Appl.Mathematics/Computational Methods of Engineering; Artificial Intelligence (incl. Robotics)

📜 SIMILAR VOLUMES

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 🏛 John Wiley & Sons 🌐 English

Multi-Objective Optimization Using Evolu

📁 Multi-Objective Optimization Using Evolutionary Algorithms

✍ Kalyanmoy Deb 📂 Library 📅 2001 🏛 Wiley 🌐 English

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

Recent Advances in Evolutionary Multi-ob

📁 Recent Advances in Evolutionary Multi-objective Optimization

✍ Slim Bechikh, Rituparna Datta, Abhishek Gupta (eds.) 📂 Library 📅 2017 🏛 Springer International Publishing 🌐 English

<p>This book covers the most recent advances in the field of evolutionary multiobjective optimization. With the aim of drawing the attention of up-and coming scientists towards exciting prospects at the forefront of computational intelligence, the authors have made an effort to ensure that the ideas

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