Heuristics for Optimization and Learning

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 ( ,beta)-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