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Advances in Metaheuristics for Hard Optimization

Advances in Metaheuristics for Hard Optimization

 

242,37 €
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Editorial:
Springer Nature B.V.
Año de edición:
2010
Materia
Inteligencia artificial
ISBN:
9783642092060
242,37 €
IVA incluido
Disponible

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Comparison of Simulated Annealing, Interval Partitioning and Hybrid Algorithms in Constrained Global Optimization.- Linkage Synthesis of a Four-Bar Mechanism for n Desired Path Points Using Simulated Annealing.- MOSS-II Tabu/Scatter Search for Nonlinear Multiobjective Optimization.- Feature Selection for Heterogeneous Ensembles of Nearest Neighbour Classifiers Using Hybrid Tabu Search.- Parallel Ant Colony Optimization Algorithm for Solving Continuous Type Engineering Problems.- An Ant-Bidding Algorithm for Multistage Flowshop Scheduling Problem: Optimization and Phase Transitions.- Dynamic Load Balancing Using an Ant Colony Approach in Microcellular Systems.- How to Calibrate Evolutionary Algorithms.- Divide and Evolve: A Sequential Hybridization Strategy Using Evolutionary Algorithms.- Evolvable Artificial Creature.- Local Search Based on Genetic Algorithms.- A Study on Locality and Heritability in Hybrid Evolutionary Cluster Optimization.- Aligning Time Series with Genetically Tuned Dynamic Time Warping Algorithm.- Some Guidelines for Genetic Algorithm implementation in MINLP Batch Plant Design Problems.- Coevolutionary Genetic Algorithm to Solve Economic Dispatch.- An Evolutionary Approach to Solve a Novel Mechatronic Multiobjective Optimization Problem.- Optimizing Stochastic Functions by Using Genetic Algorithm: An Aeronautic Military Application.- Learning Structure Illuminates Black Boxes: An Introduction into Estimation of Distribution Algorithms.- Making a Difference to Differential Evolution.- Hidden Markov Models Training Using Population-Based Metaheuristics.- New Metaheuristic Approaches in Data Mining

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