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Bioinspired Heuristics for Optimization

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Cover of 'Bioinspired Heuristics for Optimization'

Table of Contents

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    Book Overview
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    Chapter 1 Possibilistic Framework for Multi-objective Optimization Under Uncertainty
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    Chapter 2 Solving the Uncapacitated Single Allocation p-Hub Median Problem on GPU
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    Chapter 3 Phase Equilibrium Description of a Supercritical Extraction System Using Metaheuristic Optimization Algorithms
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    Chapter 4 Intrusion Detection System Based on a Behavioral Approach
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    Chapter 5 A New Hybrid Method to Solve the Multi-objective Optimization Problem for a Composite Hat-Stiffened Panel
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    Chapter 6 Storage Yard Management: Modelling and Solving
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    Chapter 7 Multi-capacitated Location Problem: A New Resolution Method Combining Exact and Heuristic Approaches Based on Set Partitioning
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    Chapter 8 Application of Genetic Algorithm for Solving Bilevel Linear Programming Problems
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    Chapter 9 Adapted Bin-Packing Algorithm for the Yard Optimization Problem
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    Chapter 10 Hidden Markov Model Classifier for the Adaptive ACS-TSP Pheromone Parameters
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    Chapter 11 CHN and Min-Conflict Heuristic to Solve Scheduling Meeting Problems
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    Chapter 12 A Probabilistic Finite State Machine Design of Particle Swarm Optimization
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    Chapter 13 Algorithm Selector and Prescheduler in the ICON Challenge
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    Chapter 14 A Metaheuristic Approach to Compute Pure Nash Equilibria
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    Chapter 15 Hybrid Genetic Algorithms to Solve the Multidimensional Knapsack Problem
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    Chapter 16 Solving the Home Health Care Problem with Temporal Precedence and Synchronization
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    Chapter 17 Automatically Generating Assessment Tests Within Higher Education Context Thanks to Genetic Approach
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    Chapter 18 Ant Colony Optimization for Optimal Low-Pass Filter Sizing
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    Chapter 19 Maximum a Posteriori Based Evolutionary Algorithm
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