The Purpose Of This Book Is To Collect Contributions That Deal With The Use Of Nature Inspired Metaheuristics For Solving Multi-objective Combinatorial Optimization Problems. Such A Collection Intends To Provide An Overview Of The State-of-the-art Developments In This Field, With The Aim Of Motivati
[Studies in Computational Intelligence] Advances in Multi-Objective Nature Inspired Computing Volume 272 || The Multiobjective Traveling Salesman Problem: A Survey and a New Approach
โ Scribed by Coello Coello, Carlos A.; Dhaenens, Clarisse; Jourdan, Laetitia
- Book ID
- 121646233
- Publisher
- Springer Berlin Heidelberg
- Year
- 2010
- Tongue
- German
- Weight
- 779 KB
- Category
- Article
- ISBN
- 3642112188
No coin nor oath required. For personal study only.
โฆ Synopsis
The Purpose Of This Book Is To Collect Contributions That Deal With The Use Of Nature Inspired Metaheuristics For Solving Multi-objective Combinatorial Optimization Problems. Such A Collection Intends To Provide An Overview Of The State-of-the-art Developments In This Field, With The Aim Of Motivating More Researchers In Operations Research, Engineering, And Computer Science, To Do Research In This Area. As Such, This Book Is Expected To Become A Valuable Reference For Those Wishing To Do Research On The Use Of Nature Inspired Metaheuristics For Solving Multi-objective Combinatorial Optimization Problems.
๐ SIMILAR VOLUMES
The application of sophisticated evolutionary computing approaches for solving complex problems with multiple conflicting objectives in science and engineering have increased steadily in the recent years. Within this growing trend, Memetic algorithms are, perhaps, one of the most successful stories,
"During the last decades Computational Intelligence has emerged and showed its contributions in various broad research communities (computer science, engineering, finance, economic, decision making, etc.). This was done by proposing approaches and algorithms based either on turnkey techniques belong