Multi-objective optimization in computational intelligence: theory and practice

✍ Scribed by Lam Thu Bui, Sameer Alam

Publisher: IGI Global snippet
Year: 2008
Tongue: English
Leaves: 496
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

Multi-objective optimization (MO) is a fast-developing field in computational intelligence research. Giving decision makers more options to choose from using some post-analysis preference information, there are a number of competitive MO techniques with an increasingly large number of MO real-world applications. Multi-Objective Optimization in Computational Intelligence: Theory and Practice explores the theoretical, as well as empirical, performance of MOs on a wide range of optimization issues including combinatorial, real-valued, dynamic, and noisy problems. This book provides scholars, academics, and practitioners with a fundamental, comprehensive collection of research on multi-objective optimization techniques, applications, and practices.

✦ Subjects

Математика;Методы оптимизации;

📜 SIMILAR VOLUMES

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

Multi-Objective Optimization in Computer

📁 Multi-Objective Optimization in Computer Networks Using Metaheuristics

✍ Yezid Donoso, Ramon Fabregat, 📂 Library 📅 2007 🌐 English

Metaheuristics are widely used to solve important practical combinatorial optimization problems. Many new multicast applications emerging from the Internet-such as TV over the Internet, radio over the Internet, and multipoint video streaming-require reduced bandwidth consumption, end-to-end delay, a

Multi-Objective Optimization in Computer

📁 Multi-Objective Optimization in Computer Networks Using Metaheuristics

✍ Yezid Donoso, Ramon Fabregat 📂 Library 📅 2007 🏛 Auerbach Publications 🌐 English

Multi-Objective Optimization using Artif

📁 Multi-Objective Optimization using Artificial Intelligence Techniques

✍ Seyedali Mirjalili, Jin Song Dong 📂 Library 📅 2020 🏛 Springer 🌐 English

<p>This book focuses on the most well-regarded and recent nature-inspired algorithms capable of solving optimization problems with multiple objectives. Firstly, it provides preliminaries and essential definitions in multi-objective problems and different paradigms to solve them. It then presents an

Computational Intelligence in Theory and

📁 Computational Intelligence in Theory and Practice

✍ Didier Dubois, Henri Prade (auth.), Prof. Dr. Bernd Reusch, Dr. Karl-Heinz Temme 📂 Library 📅 2001 🏛 Physica-Verlag Heidelberg 🌐 English

<p>Computational Intelligence with its roots in Fuzzy Logic, Neural Networks and Evolutionary Algorithms has become an important research and application field in computer science in the last decade. Methodologies from these areas and combinations of them enable users from engineering, business, med

Advances in Computational Intelligence:

📁 Advances in Computational Intelligence: Theory and Practice

✍ Hans-Paul Schwefel, Ingo Wegener, Klaus Weinert (eds.) 📂 Library 📅 2003 🏛 Springer 🌐 English

<p>The 30 coherently written chapters by leading researchers presented in this anthology are devoted to basic results achieved in computational intelligence since 1997. The book provides complete coverage of the core issues in the field, especially in fuzzy logic and control as well as for evolution