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Recent Advances in Computational Optimization

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Cover of 'Recent Advances in Computational Optimization'

Table of Contents

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    Book Overview
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    Chapter 1 Sequential Predictive Scheduling in Partitioned Data Domains
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    Chapter 2 Wildfire Optimizations in Modeling and Calibrations for Bulgarian Test Cases
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    Chapter 3 Process Control with the Variability Constraints
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    Chapter 4 Comparison of Different ACO Start Strategies Based on InterCriteria Analysis
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    Chapter 5 Evolutionary Approach for Tuning of Longwall Scraper Conveyor Model
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    Chapter 6 Solving Graph Partitioning Problems with Parallel Metaheuristics
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    Chapter 7 Comparison of Selected Fuzzy PSO Algorithms
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    Chapter 8 On the Exact Solution of the Distance Geometry with Interval Distances in Dimension 1
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    Chapter 9 Verification of Correctness of Parallel Algorithms in Practice
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    Chapter 10 Application of Fuzzy Cognitive Maps with Evolutionary Learning Algorithm to Model Decision Support Systems Based on Real-Life and Historical Data
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    Chapter 11 Meeting the Challenges of Optimized Memory Management in Embedded Vision Systems Using Operations Research
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    Chapter 12 Analysis and Experimental Study of Heuristics for Job Scheduling Reoptimization Problems
Attention for Chapter 6: Solving Graph Partitioning Problems with Parallel Metaheuristics
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Chapter title
Solving Graph Partitioning Problems with Parallel Metaheuristics
Chapter number 6
Book title
Recent Advances in Computational Optimization
Published by
Springer, Cham, January 2018
DOI 10.1007/978-3-319-59861-1_6
Book ISBNs
978-3-31-959860-4, 978-3-31-959861-1
Authors

Zbigniew Kokosiński, Marcin Bała, Kokosiński, Zbigniew, Bała, Marcin

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