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Applications of metaheuristics in process engineering / edited by Jayaraman Valadi, Patrick Siarry.

Colaborador(es): Tipo de material: TextoTextoEditor: Cham : Springer International Publishing : Springer, 2014Descripción: xiii, 444 páginas : 164 ilustraciones, 50 ilustraciones en colorTipo de contenido:
  • texto
Tipo de medio:
  • computadora
Tipo de portador:
  • recurso en línea
ISBN:
  • 9783319065083
Formatos físicos adicionales: Edición impresa:: Sin títuloClasificación LoC:
  • Q334-342
Recursos en línea:
Contenidos:
Metaheuristics in Process Engineering: A Historical Perspective -- Applications of Genetic Algorithms in Chemical Engineering I: Methodology -- Applications of Genetic Algorithms in Chemical Engineering II: Case Studies -- Strategies for Evolutionary Data-Driven Modeling in Chemical and Metallurgical Systems -- Swarm Intelligence in Pulp and Paper Process Optimization -- Particle Swarm Optimization Technique for Optimal Design of Plate Type Distillation Column -- Reliable Optimal Control of a Fed-Batch Fermentation Process Using Ant Colony Optimisation and Bootstrap Aggregated Neural Network Models -- Biogeography-Based Optimization (BBO) for Dynamic Optimization of Chemical Reactors -- Biogeography-Based Optimization (BBO) Algorithm for Optimization of Heat Exchangers -- Optimization Heuristics Mimicking Chemical Processes -- In Silico Maturation: Processing Sequences to Improve Biopolymer Function Based on Genetic Algorithms -- Molecular Engineering of Electrically Conducting Polymers Using Artificial Intelligence Methods -- Applications of Genetic Algorithms in QSAR/QSPR Modeling -- Genetic Algorithms in Drug Design: A Not So Old Story in a Newer Bottle -- Multi objective Genetic Algorithms for Chemical Engineering Applications -- A Multi objective Modelling and Optimization Framework for Operations Management of a Fresh Fruit Supply Chain: A Case Study on a Mexican Lime Company -- Jumping Gene Adaptations of NSGA-II with Altruism Approach: Performance Comparison and Application to Williams-Otto Process -- Hybrid Approach for Multi objective Optimization and Its Application to Process Engineering Problems.
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Springer eBooks

Metaheuristics in Process Engineering: A Historical Perspective -- Applications of Genetic Algorithms in Chemical Engineering I: Methodology -- Applications of Genetic Algorithms in Chemical Engineering II: Case Studies -- Strategies for Evolutionary Data-Driven Modeling in Chemical and Metallurgical Systems -- Swarm Intelligence in Pulp and Paper Process Optimization -- Particle Swarm Optimization Technique for Optimal Design of Plate Type Distillation Column -- Reliable Optimal Control of a Fed-Batch Fermentation Process Using Ant Colony Optimisation and Bootstrap Aggregated Neural Network Models -- Biogeography-Based Optimization (BBO) for Dynamic Optimization of Chemical Reactors -- Biogeography-Based Optimization (BBO) Algorithm for Optimization of Heat Exchangers -- Optimization Heuristics Mimicking Chemical Processes -- In Silico Maturation: Processing Sequences to Improve Biopolymer Function Based on Genetic Algorithms -- Molecular Engineering of Electrically Conducting Polymers Using Artificial Intelligence Methods -- Applications of Genetic Algorithms in QSAR/QSPR Modeling -- Genetic Algorithms in Drug Design: A Not So Old Story in a Newer Bottle -- Multi objective Genetic Algorithms for Chemical Engineering Applications -- A Multi objective Modelling and Optimization Framework for Operations Management of a Fresh Fruit Supply Chain: A Case Study on a Mexican Lime Company -- Jumping Gene Adaptations of NSGA-II with Altruism Approach: Performance Comparison and Application to Williams-Otto Process -- Hybrid Approach for Multi objective Optimization and Its Application to Process Engineering Problems.

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