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Advances in Metaheuristics

Overview of attention for book
Cover of 'Advances in Metaheuristics'

Table of Contents

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    Book Overview
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    Chapter 1 Finite First Hitting Time Versus Stochastic Convergence in Particle Swarm Optimisation
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    Chapter 2 Using Performance Profiles for the Analysis and Design of Benchmark Experiments
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    Chapter 3 Real-World Parameter Tuning Using Factorial Design with Parameter Decomposition
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    Chapter 4 Evolving Pacing Strategies for Team Pursuit Track Cycling
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    Chapter 5 A Dual Mutation Operator to Solve the Multi-objective Production Planning of Perishable Goods
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    Chapter 6 Brain Cine-MRI Registration Using MLSDO Dynamic Optimization Algorithm
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    Chapter 7 GRASP with Path Relinking for the Two-Echelon Vehicle Routing Problem
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    Chapter 8 A Hybrid (1+1)-Evolutionary Strategy for the Open Vehicle Routing Problem
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    Chapter 9 A Timeslot-Filling Heuristic Approach to Construct High-School Timetables
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    Chapter 10 A GRASP for Supply Chain Optimization with Financial Constraints per Production Unit
Attention for Chapter 2: Using Performance Profiles for the Analysis and Design of Benchmark Experiments
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