Multiobjective Problem Solving from Nature: From Concepts to Applications
Book information
Description
This text examines how multiobjective evolutionary algorithms and related techniques can be used to solve problems, particularly in the disciplines of science and engineering. Contributions by leading researchers show how the concept of multiobjective optimization can be used to reformulate and resolve problems in areas such as constrained optimization, co-evolution, classification, inverse modeling, and design.
Similar books
Multiobjective Problem Solving from Nature: From Concepts to Applications
2008 · PDF
Multiobjective Problem Solving from Nature: From Concepts to Applications
2008 · PDF
Evolution in Action: Past, Present and Future: A Festschrift in Honor of Erik D. Goodman
2020 · PDF
Smart and Sustainable Engineering for Next Generation Applications: Proceeding of the Second International Conference on Emerging Trends in Electrical, Electronic and Communications Engineering (ELECOM 2018), November 28–30, 2018, Mauritius
2019 · PDF
Multi-Objective Optimization Using Evolutionary Algorithms
2001 · PDF
Evolutionary Multi-Criterion Optimization: 10th International Conference, EMO 2019, East Lansing, MI, USA, March 10-13, 2019, Proceedings
2019 · PDF
Optimization for engineering design: algorithms and examples (Introduction only 45 page)
2003 · PDF
Evolutionary Image Analysis, Signal Processing and Telecommunications: First European Workshops, EvoIASP’99 and EuroEcTel’99, Göteborg, Sweden, May 26-27, 1999. Proceedings
1999 · PDF