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{ "item_title" : "Heuristics for Optimization and Learning", "item_author" : [" Farouk Yalaoui", "Lionel Amodeo", "El-Ghazali Talbi "], "item_description" : "Process Plan Generation for Reconfigurable Manufacturing Systems: Exact vs Evolutionary-Based Multi-Objective Approaches.- On VNS-GRASP and Iterated Greedy Metaheuristics for Solving Hybrid Flow Shop Scheduling Problem with Uniform Parallel Machines and Sequence Independent Setup Time.- A Variable Block Insertion Heuristic for the Energy-Efficient Permutation Flowshop Scheduling with Makespan Criterion.- Solving 0-1 Bi-Objective Multi-Dimensional Knapsack Problems using Binary Genetic Algorithm.- An asynchronous parallel evolutionary algorithm for solving large .instances of the multi-objective QAP.- Learning from Prior Designs for Facility Layout Optimization.- Single-objective Real-parameter Optimization: Enhanced LSHADE-SPACMA Algorithm.- Operations Research at Bulk Terminal: A Parallel Column Generation Approach.- Heuristic solutions for the (α,β)-k feature set problem.- Generic Support for Precomputation-Based Global Routing Constraints in Local Search Optimization.- Dynamic Simulated Annealing with Adaptive Neighborhood using Hidden Markov Model.- Hybridization of the differential evolution algorithm for continuous multi-objective optimization.- A Steganographic Embedding Scheme Using Improved-PSO Approach.- Algorithms towards the Automated Customer Inquiry Classification.- An heuristic scheme for a reaction advection diffusion equation.- Stock Market Speculation System Development based on Technico Temporal indicators and Data Mining Tools.- A New Hidden Markov Model Approach for Pheromone Level Exponent Adaptation in Ant Colony System.- A new cut-based genetic algorithm for graph partitioning applied to cell formation.- Memetic algorithm and evolutionary operators for multi-objective matrix tri-factorization problem.- Quaternion simulated annealing.- A Cooperative Multi-Swarm Particle Swarm Optimizer Based Hidden Markov Model.- Experimental Sensitivity Analysis of Grid-Based Parameter Adaptation Method.- Auto-Scaling System in Apache Spark Cluster using Model-Based Deep Reinforcement Learning.- Innovation Networks from Inter-Organizational Research Collaborations.- Assessing Film Coefficients of Microchannel Heat Sinks via Cuckoo Search Algorithm.- One-Class Subject Authentication using Feature Extraction by Grammatical Evolution on Accelerometer Data.- Semantic composition of word-embeddings with genetic programming.- New Approach for Continuous and Discrete Optimization: Optimization by Morphological Filters.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/3/03/058/932/3030589323_b.jpg", "price_data" : { "retail_price" : "199.99", "online_price" : "199.99", "our_price" : "199.99", "club_price" : "199.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Heuristics for Optimization and Learning|Farouk Yalaoui

Heuristics for Optimization and Learning

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Overview

Process Plan Generation for Reconfigurable Manufacturing Systems: Exact vs Evolutionary-Based Multi-Objective Approaches.- On VNS-GRASP and Iterated Greedy Metaheuristics for Solving Hybrid Flow Shop Scheduling Problem with Uniform Parallel Machines and Sequence Independent Setup Time.- A Variable Block Insertion Heuristic for the Energy-Efficient Permutation Flowshop Scheduling with Makespan Criterion.- Solving 0-1 Bi-Objective Multi-Dimensional Knapsack Problems using Binary Genetic Algorithm.- An asynchronous parallel evolutionary algorithm for solving large .instances of the multi-objective QAP.- Learning from Prior Designs for Facility Layout Optimization.- Single-objective Real-parameter Optimization: Enhanced LSHADE-SPACMA Algorithm.- Operations Research at Bulk Terminal: A Parallel Column Generation Approach.- Heuristic solutions for the (α,β)-k feature set problem.- Generic Support for Precomputation-Based Global Routing Constraints in Local Search Optimization.- Dynamic Simulated Annealing with Adaptive Neighborhood using Hidden Markov Model.- Hybridization of the differential evolution algorithm for continuous multi-objective optimization.- A Steganographic Embedding Scheme Using Improved-PSO Approach.- Algorithms towards the Automated Customer Inquiry Classification.- An heuristic scheme for a reaction advection diffusion equation.- Stock Market Speculation System Development based on Technico Temporal indicators and Data Mining Tools.- A New Hidden Markov Model Approach for Pheromone Level Exponent Adaptation in Ant Colony System.- A new cut-based genetic algorithm for graph partitioning applied to cell formation.- Memetic algorithm and evolutionary operators for multi-objective matrix tri-factorization problem.- Quaternion simulated annealing.- A Cooperative Multi-Swarm Particle Swarm Optimizer Based Hidden Markov Model.- Experimental Sensitivity Analysis of Grid-Based Parameter Adaptation Method.- Auto-Scaling System in Apache Spark Cluster using Model-Based Deep Reinforcement Learning.- Innovation Networks from Inter-Organizational Research Collaborations.- Assessing Film Coefficients of Microchannel Heat Sinks via Cuckoo Search Algorithm.- One-Class Subject Authentication using Feature Extraction by Grammatical Evolution on Accelerometer Data.- Semantic composition of word-embeddings with genetic programming.- New Approach for Continuous and Discrete Optimization: Optimization by Morphological Filters.

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Details

  • ISBN-13: 9783030589325
  • ISBN-10: 3030589323
  • Publisher: Springer
  • Publish Date: December 2021
  • Dimensions: 9.21 x 6.14 x 0.93 inches
  • Shipping Weight: 1.41 pounds
  • Page Count: 442

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