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Evolutionary Computation in Combinatorial Optimization

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Cover of 'Evolutionary Computation in Combinatorial Optimization'

Table of Contents

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    Book Overview
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    Chapter 1 A Critical Element-Guided Perturbation Strategy for Iterated Local Search
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    Chapter 2 A Genetic Algorithm for Net Present Value Maximization for Resource Constrained Projects
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    Chapter 3 A Hybrid Algorithm for Computing Tours in a Spare Parts Warehouse
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    Chapter 4 A New Binary Description of the Blocks Relocation Problem and Benefits in a Look Ahead Heuristic
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    Chapter 5 A Plasmid Based Transgenetic Algorithm for the Biobjective Minimum Spanning Tree Problem
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    Chapter 6 A Tabu Search Algorithm with Direct Representation for Strip Packing
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    Chapter 7 An ACO Approach to Planning
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    Chapter 8 An Artificial Immune System for the Multi-Mode Resource-Constrained Project Scheduling Problem
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    Chapter 9 Beam-ACO Based on Stochastic Sampling for Makespan Optimization Concerning the TSP with Time Windows
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    Chapter 10 Binary Exponential Back Off for Tabu Tenure in Hyperheuristics
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    Chapter 11 Diversity Control and Multi-Parent Recombination for Evolutionary Graph Coloring Algorithms
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    Chapter 12 Divide-And-Evolve Facing State-of-the-Art Temporal Planners during the 6 th International Planning Competition
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    Chapter 13 Exact Solutions to the Traveling Salesperson Problem by a Population-Based Evolutionary Algorithm
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    Chapter 14 Finding Balanced Incomplete Block Designs with Metaheuristics
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    Chapter 15 Guided Ejection Search for the Job Shop Scheduling Problem
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    Chapter 16 Improving Performance in Combinatorial Optimisation Using Averaging and Clustering
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    Chapter 17 Iterated Local Search for Minimum Power Symmetric Connectivity in Wireless Networks
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    Chapter 18 Metropolis and Symmetric Functions: A Swan Song
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    Chapter 19 Robustness Analysis in Evolutionary Multi-Objective Optimization Applied to VAR Planning in Electrical Distribution Networks
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    Chapter 20 Staff Scheduling with Particle Swarm Optimisation and Evolution Strategies
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    Chapter 21 University Course Timetabling with Genetic Algorithm: A Laboratory Excercises Case Study
Attention for Chapter 2: A Genetic Algorithm for Net Present Value Maximization for Resource Constrained Projects
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Chapter title
A Genetic Algorithm for Net Present Value Maximization for Resource Constrained Projects
Chapter number 2
Book title
Evolutionary Computation in Combinatorial Optimization
Published by
Springer, Berlin, Heidelberg, April 2009
DOI 10.1007/978-3-642-01009-5_2
Book ISBNs
978-3-64-201008-8, 978-3-64-201009-5
Authors

Mario Vanhoucke

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belgium 1 9%
Unknown 10 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 36%
Student > Doctoral Student 2 18%
Professor 2 18%
Student > Bachelor 1 9%
Student > Master 1 9%
Other 1 9%
Readers by discipline Count As %
Business, Management and Accounting 6 55%
Engineering 3 27%
Economics, Econometrics and Finance 1 9%
Computer Science 1 9%