Decomposition-based Evolutionary Optimization In Complex Environments
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A01=Bin Xin
A01=Jie Chen
A01=Juan Li
Algorithm Design
Application of Multi-Objective Uncertain Optimization Approaches
Author_Bin Xin
Author_Jie Chen
Author_Juan Li
Category=UMB
Combinatorial Optimization
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Intelligent/Evolutionary Algorithms
IntelligentEvolutionary Algorithms
Multi-Objective Optimization
Uncertain Optimization
Product details
- ISBN 9789811218989
- Publication Date: 04 Aug 2020
- Publisher: World Scientific Publishing Co Pte Ltd
- Publication City/Country: SG
- Product Form: Hardback
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Multi-objective optimization problems (MOPs) and uncertain optimization problems (UOPs) which widely exist in real life are challengeable problems in the fields of decision making, system designing, and scheduling, amongst others. Decomposition exploits the ideas of ‘making things simple’ and ‘divide and conquer’ to transform a complex problem into a series of simple ones with the aim of reducing the computational complexity. In order to tackle the abovementioned two types of complicated optimization problems, this book introduces the decomposition strategy and conducts a systematic study to perfect the usage of decomposition in the field of multi-objective optimization, and extend the usage of decomposition in the field of uncertain optimization.
