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Simulated Annealing

By Tan Cher, Ming

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Book Id: WPLBN0003842511
Format Type: PDF eBook :
File Size:
Reproduction Date: 2015

Title: Simulated Annealing  
Author: Tan Cher, Ming
Language: English
Subject: Simulated Annealing, Ai and Robotics, Programming
Collections: Online Programming Books
Publication Date:
Publisher: Intech


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Cher, M. (2008). Simulated Annealing. Retrieved from

Description: This book provides the readers with the knowledge of Simulated Annealing and its vast applications in the various branches of engineering. We encourage readers to explore the application of Simulated Annealing in their work for the task of optimization.

Table of Contents
TOC : Simulated Annealing as an Intensification Component in Hybrid Population-based Metaheuristics - Multi-Objective Simulated Annealing for a Maintenance Workforce Scheduling Problem: A Case Study - Using Simulated Annealing for Open Shop Scheduling with Sum Criteria - Real Time Multiagent Decision Making by Simulated Annealing - Learning FCM with Simulated Annealing - Knowledge-Informed Simulated Annealing for Spatial Allocation Problems - An Efficient Quasi-Human Heuristic Algorithm for Solving the Rectangle-Packing Problem - Application of Simulated Annealing to Routing Problems in City Logistics - Theory and Applications of Simulated Annealing for Nonlinear Constrained Optimization - Annealing Stochastic Approximation Monte Carlo for Global Optimization - Application of Simulated Annealing on the Study of Multiphase Systems - Simulated Annealing for Mixture Distribution Analysis and its Applications to Reliability Testing - Reticle Floorplanning and Simulated Wafer Dicing for Multiple-Project Wafers by Simulated Annealing - Structural Optimization Using Simulated Annealing - Optimization of Reinforced Concrete Structures by Simulated Annealing - Best Practices for Simulated Annealing in Multiprocessor Task Distribution Problems - Simulated Annealing of Two Electron Density Solution Systems - Improving the Neighborhood Selection Strategy in Simulated Annealing Using the Optimal Stopping Problem - A Comparison of Simulated Annealing, Elliptic and Genetic Algorithms for Finding Irregularly Shaped Spatial Clusters - Practical Considerations for Simulated Annealing Implementation.


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