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{ "item_title" : "Modern Music-Inspired Optimization Algorithms for Electric Power Systems", "item_author" : [" Mohammad Kiani-Moghaddam", "Mojtaba Shivaie", "Philip D. Weinsier "], "item_description" : "Chapter1: Introduction to Meta-Heuristic Optimization Algorithms.- Chapter2: Introduction to Multi-Objective Optimization and Decision Making Analysis.- Chapter3: Music-Inspired Optimization Algorithms: From Past to Present.- Chapter4: Advances in Music-Inspired Optimization Algorithms.- Chapter5: Power Systems Operation.- Chapter6: Power Systems Planning.- Chapter7: Power Quality Planning.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/3/03/012/043/3030120430_b.jpg", "price_data" : { "retail_price" : "219.99", "online_price" : "219.99", "our_price" : "219.99", "club_price" : "219.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Modern Music-Inspired Optimization Algorithms for Electric Power Systems|Mohammad Kiani-Moghaddam

Modern Music-Inspired Optimization Algorithms for Electric Power Systems : Modeling, Analysis and Practice

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Overview

Chapter1: Introduction to Meta-Heuristic Optimization Algorithms.- Chapter2: Introduction to Multi-Objective Optimization and Decision Making Analysis.- Chapter3: Music-Inspired Optimization Algorithms: From Past to Present.- Chapter4: Advances in Music-Inspired Optimization Algorithms.- Chapter5: Power Systems Operation.- Chapter6: Power Systems Planning.- Chapter7: Power Quality Planning.

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Details

  • ISBN-13: 9783030120436
  • ISBN-10: 3030120430
  • Publisher: Springer
  • Publish Date: May 2019
  • Dimensions: 9.21 x 6.14 x 1.56 inches
  • Shipping Weight: 2.7 pounds
  • Page Count: 727

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