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{ "item_title" : "Foundations of Computational Intelligence Volume 3", "item_author" : [" Ajith Abraham", "Aboul-Ella Hassanien", "Patrick Siarry "], "item_description" : "Global Optimization Algorithms: Theoretical Foundations and Perspectives.- Genetic Algorithms for the Use in Combinatorial Problems.- Bacterial Foraging Optimization Algorithm: Theoretical Foundations, Analysis, and Applications.- Global Optimization Using Harmony Search: Theoretical Foundations and Applications.- Hybrid GRASP Heuristics.- Particle Swarm Optimization: Performance Tuning and Empirical Analysis.- Tabu Search to Solve Real-Life Combinatorial Optimization Problems: A Case of Study.- Reformulations in Mathematical Programming: A Computational Approach.- Graph-Based Local Elimination Algorithms in Discrete Optimization.- Evolutionary Approach to Solving Non-stationary Dynamic Multi-Objective Problems.- Turbulent Particle Swarm Optimization Using Fuzzy Parameter Tuning.- Global Optimization Algorithms: Applications.- An Evolutionary Approximation for the Coefficients of Decision Functions within a Support Vector Machine Learning Strategy.- Evolutionary Computing in Statistical Data Analysis.- Meta-heuristics for System Design Engineering.- Transgenetic Algorithm: A New Endosymbiotic Approach for Evolutionary Algorithms.- Multi-objective Team Forming Optimization for Integrated Product Development Projects.- Genetic Algorithms for Task Scheduling Problem.- PSO_Bounds: A New Hybridization Technique of PSO and EDAs.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/3/64/201/084/3642010849_b.jpg", "price_data" : { "retail_price" : "169.99", "online_price" : "169.99", "our_price" : "169.99", "club_price" : "169.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Foundations of Computational Intelligence Volume 3|Ajith Abraham

Foundations of Computational Intelligence Volume 3 : Global Optimization

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Overview

Global Optimization Algorithms: Theoretical Foundations and Perspectives.- Genetic Algorithms for the Use in Combinatorial Problems.- Bacterial Foraging Optimization Algorithm: Theoretical Foundations, Analysis, and Applications.- Global Optimization Using Harmony Search: Theoretical Foundations and Applications.- Hybrid GRASP Heuristics.- Particle Swarm Optimization: Performance Tuning and Empirical Analysis.- Tabu Search to Solve Real-Life Combinatorial Optimization Problems: A Case of Study.- Reformulations in Mathematical Programming: A Computational Approach.- Graph-Based Local Elimination Algorithms in Discrete Optimization.- Evolutionary Approach to Solving Non-stationary Dynamic Multi-Objective Problems.- Turbulent Particle Swarm Optimization Using Fuzzy Parameter Tuning.- Global Optimization Algorithms: Applications.- An Evolutionary Approximation for the Coefficients of Decision Functions within a Support Vector Machine Learning Strategy.- Evolutionary Computing in Statistical Data Analysis.- Meta-heuristics for System Design Engineering.- Transgenetic Algorithm: A New Endosymbiotic Approach for Evolutionary Algorithms.- Multi-objective Team Forming Optimization for Integrated Product Development Projects.- Genetic Algorithms for Task Scheduling Problem.- PSO_Bounds: A New Hybridization Technique of PSO and EDAs.

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Details

  • ISBN-13: 9783642010842
  • ISBN-10: 3642010849
  • Publisher: Springer
  • Publish Date: April 2009
  • Dimensions: 9.21 x 6.14 x 1.19 inches
  • Shipping Weight: 2.04 pounds
  • Page Count: 528

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