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Intelligent Computational Optimization in Engineering

Overview of attention for book
Intelligent Computational Optimization in Engineering
Springer Berlin Heidelberg

Table of Contents

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    Book Overview
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    Chapter 1 Intelligent Computational Optimization in Engineering: Techniques and Applications
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    Chapter 2 Learning Automata in Control Planning Strategies
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    Chapter 3 Optimization Strategies for Restricted Candidate Lists in Field Service Scheduling
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    Chapter 4 Framework for Integrating Optimization and Heuristic Models for Solving Planning and Scheduling Problem in a Resin Manufacturing Plant
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    Chapter 5 Evolutionary Algorithms in the Optimal Sizing of Analog Circuits
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    Chapter 6 Application of Estimation of Distribution Algorithms for Nuclear Fuel Management
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    Chapter 7 Optimal Control Systems with Reduced Parametric Sensitivity Based on Particle Swarm Optimization and Simulated Annealing
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    Chapter 8 Comparison of Evolutionary and Swarm Intelligence Methods for History Matching and Uncertainty Quantification in Petroleum Reservoir Models
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    Chapter 9 Optimization of Multiple Traveling Salesmen Problem by a Novel Representation Based Genetic Algorithm
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    Chapter 10 Out-of-the-Box and Custom Implementation of Metaheuristics. A Case Study: The Vehicle Routing Problem with Stochastic Demand
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    Chapter 11 Analogue Circuit Optimization through a Hybrid Approach
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    Chapter 12 Evolutionary Inventory Control for Multi-Echelon Systems
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    Chapter 13 Fuzzy Skyhook Surface Control Using Micro-Genetic Algorithm for Vehicle Suspension Ride Comfort
Attention for Chapter 4: Framework for Integrating Optimization and Heuristic Models for Solving Planning and Scheduling Problem in a Resin Manufacturing Plant
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