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{ "item_title" : "Decomposition-Based Evolution Optimization Complex Environ", "item_author" : [" Li Juan "], "item_description" : "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 ofmaking things simple(TM) anddivide and conquer(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.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/9/81/121/898/9811218986_b.jpg", "price_data" : { "retail_price" : "98.00", "online_price" : "98.00", "our_price" : "98.00", "club_price" : "98.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Decomposition-Based Evolution Optimization Complex Environ|Li Juan

Decomposition-Based Evolution Optimization Complex Environ

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Overview

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 (TM) and divide and conquer (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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Details

  • ISBN-13: 9789811218989
  • ISBN-10: 9811218986
  • Publisher: World Scientific Publishing Company
  • Publish Date: July 2020
  • Dimensions: 9 x 6 x 0.63 inches
  • Shipping Weight: 1.1 pounds
  • Page Count: 248

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