Learning and Intelligent Optimization

Table of Contents

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   Book Overview
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   Chapter 1 Learning and Intelligent Optimization
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   Chapter 2 Intelligent Optimization for the Minimum Labelling Spanning Tree Problem
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   Chapter 3 A Constraint Satisfaction Approach to Tractable Theory Induction
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   Chapter 4 Features for Exploiting Black-Box Optimization Problem Structure
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   Chapter 5 MOCA-I: Discovering Rules and Guiding Decision Maker in the Context of Partial Classification in Large and Imbalanced Datasets
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   Chapter 6 Sharing Information in Parallel Search with Search Space Partitioning
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   Chapter 7 Fast Computation of the Multi-Points Expected Improvement with Applications in Batch Selection
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   Chapter 8 R2-EMOA: Focused Multiobjective Search Using R2-Indicator-Based Selection
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    Chapter 9 A Heuristic Algorithm for the Set Multicover Problem with Generalized Upper Bound Constraints
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    Chapter 10 A Genetic Algorithm Approach for the Multidimensional Two-Way Number Partitioning Problem
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    Chapter 11 Adaptive Dynamic Load Balancing in Heterogeneous Multiple GPUs-CPUs Distributed Setting: Case Study of B&B Tree Search
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    Chapter 12 Multi-Objective Optimization for Relevant Sub-graph Extraction
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    Chapter 13 PROGRESS: Progressive Reinforcement-Learning-Based Surrogate Selection
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    Chapter 14 Neutrality in the Graph Coloring Problem
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    Chapter 15 Kernel Multi Label Vector Optimization (kMLVO): A Unified Multi-Label Classification Formalism
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    Chapter 16 Robust Benchmark Set Selection for Boolean Constraint Solvers
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    Chapter 17 Boosting Sequential Solver Portfolios: Knowledge Sharing and Accuracy Prediction
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    Chapter 18 A Fast and Adaptive Local Search Algorithm for Multi-Objective Optimization
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    Chapter 19 An Analysis of Hall-of-Fame Strategies in Competitive Coevolutionary Algorithms for Self-Learning in RTS Games
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    Chapter 20 Resources Optimization in (Video) Games: A Novel Approach to Teach Applied Mathematics?
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    Chapter 21 CMF: A Combinatorial Tool to Find Composite Motifs
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    Chapter 22 Hill-Climbing Behavior on Quantized NK-Landscapes
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    Chapter 23 Neighborhood Specification for Game Strategy Evolution in a Spatial Iterated Prisoner’s Dilemma Game
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    Chapter 24 A Study on the Specification of a Scalarizing Function in MOEA/D for Many-Objective Knapsack Problems
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    Chapter 25 Portfolio with Block Branching for Parallel SAT Solvers
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    Chapter 26 Parameter Setting with Dynamic Island Models
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    Chapter 27 A Simulated Annealing Algorithm for the Vehicle Routing Problem with Time Windows and Synchronization Constraints
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    Chapter 28 Solution of the Maximum $$k$$ k -Balanced Subgraph Problem
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    Chapter 29 Racing with a Fixed Budget and a Self-Adaptive Significance Level
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    Chapter 30 An Efficient Best Response Heuristic for a Non-preemptive Strictly Periodic Scheduling Problem
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    Chapter 31 Finding an Evolutionary Solution to the Game of Mastermind with Good Scaling Behavior
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    Chapter 32 A Fast Local Search Approach for Multiobjective Problems
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    Chapter 33 Generating Customized Landscapes in Permutation-Based Combinatorial Optimization Problems
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    Chapter 34 Multiobjective Evolution of Mixed Nash Equilibria
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    Chapter 35 Hybridizing Constraint Programming and Monte-Carlo Tree Search: Application to the Job Shop Problem
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    Chapter 36 From Grammars to Parameters: Automatic Iterated Greedy Design for the Permutation Flow-Shop Problem with Weighted Tardiness
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    Chapter 37 Architecture for Monitoring Learning Processes Using Video Games
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    Chapter 38 Quality Measures of Parameter Tuning for Aggregated Multi-Objective Temporal Planning
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    Chapter 39 Evolutionary FSM-Based Agents for Playing Super Mario Game
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    Chapter 40 Identifying Key Algorithm Parameters and Instance Features Using Forward Selection
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    Chapter 41 Using Racing to Automatically Configure Algorithms for Scaling Performance
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    Chapter 42 Algorithm Selection for the Graph Coloring Problem
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    Chapter 43 Batched Mode Hyper-heuristics
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    Chapter 44 Tuning Algorithms for Tackling Large Instances: An Experimental Protocol
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    Chapter 45 Automated Parameter Tuning Framework for Heterogeneous and Large Instances: Case Study in Quadratic Assignment Problem
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    Chapter 46 Practically Desirable Solutions Search on Multi-Objective Optimization
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    Chapter 47 Oversized Populations and Cooperative Selection: Dealing with Massive Resources in Parallel Infrastructures
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    Chapter 48 Effects of Population Size on Selection and Scalability in Evolutionary Many-Objective Optimization
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    Chapter 49 A Novel Feature Selection Method for Classification Using a Fuzzy Criterion