β Scribed by Jayaraman Valadi, Patrick Siarry (eds.)
No coin nor oath required. For personal study only.
Metaheuristics exhibit desirable properties like simplicity, easy parallelizability and ready applicability to different types of optimization problems such as real parameter optimization, combinatorial optimization and mixed integer optimization. They are thus beginning to play a key role in different industrially important process engineering applications, among them the synthesis of heat and mass exchange equipment, synthesis of distillation columns and static and dynamic optimization of chemical and bioreactors.
This book explains cutting-edge research techniques in related computational intelligence domains and their applications in real-world process engineering. It will be of interest to industrial practitioners and research academics.
Front Matter....Pages i-xiii
Metaheuristics in Process Engineering: A Historical Perspective....Pages 1-38
Applications of Genetic Algorithms in Chemical Engineering I: Methodology....Pages 39-59
Applications of Genetic Algorithms in Chemical Engineering II: Case Studies....Pages 61-87
Strategies for Evolutionary Data Driven Modeling in Chemical and Metallurgical Systems....Pages 89-122
Swarm Intelligence in Pulp and Paper Process Optimization....Pages 123-151
Particle Swarm Optimization Technique for the Optimal Design of Plate-Type Distillation Column....Pages 153-182
Reliable Optimal Control of a Fed-Batch Fermentation Process Using Ant Colony Optimization and Bootstrap Aggregated Neural Network Models....Pages 183-200
Biogeography-Based Optimization for Dynamic Optimization of Chemical Reactors....Pages 201-216
Biogeography-Based Optimization Algorithm for Optimization of Heat Exchangers....Pages 217-251
Optimization Heuristics Mimicking Chemical Processes....Pages 253-269
In silico Maturation: Processing Sequences to Improve Biopolymer Functions Based on Genetic Algorithms....Pages 271-288
Molecular Engineering of Electrically Conducting Polymers Using Artificial Intelligence Methods....Pages 289-314
Applications of Genetic Algorithms in QSAR/QSPR Modeling....Pages 315-324
Genetic Algorithms in Drug Design: A Not-So-Old Story in a Newer Bottle....Pages 325-342
Multi-Objective Genetic Algorithms for Chemical Engineering Applications....Pages 343-371
A Multi-Objective Modelling and Optimization Framework for Operations Management of a Fresh Fruit Supply Chain: A Case Study on a Mexican Lime Company....Pages 373-394
Jumping Gene Adaptations of NSGA-II with Altruism Approach: Performance Comparison and Application to WilliamsβOtto Process....Pages 395-421
Hybrid Approach for Multiobjective Optimization and Its Application to Process Engineering Problems....Pages 423-444
Artificial Intelligence (incl. Robotics); Computational Intelligence; Industrial Chemistry/Chemical Engineering
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