Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Decomposition-Based Evolutionary Optimization in Complex Environments

Decomposition-Based Evolutionary Optimization in Complex Environments

Chen, Jie
Li, Juan
Xin, Bin

Hardcover

Programming

ISBN10: 9811218986
ISBN13: 9789811218989
Publisher: World Scientific Publishing Company
Published: Aug 4 2020
Pages: 248
Weight: 1.10
Height: 0.63 Width: 6.00 Depth: 9.00
Language: English
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 â ~making things simpleâ (TM) and â ~divide and conquerâ (TM) 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.

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