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BL
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| Record Number
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890395
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| Main Entry
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AEOTIT (Conference)(2018 :, Surat, India)
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| Title & Author
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Advanced engineering optimization through intelligent techniques : : select proceedings of AEOTIT 2018 /\ R. Venkata Rao, Jan Taler, editors.
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| Publication Statement
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Singapore :: Springer,, 2020.
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| Series Statement
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Advances in intelligent systems and computing ;; 949
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| Page. NO
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1 online resource (836 pages)
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| ISBN
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9789811381966
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: 9811381968
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9789811381959
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981138195X
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| Contents
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Intro; Conference Patron; Conveners; International Advisory Committee; National Advisory Committee; Preface; Contents; About the Editors; Combined Intelligent and Adaptive Optimization in End Milling of Multi-layered 16MnCr5/316L; 1 Introduction; 2 Combined Intelligent and Adaptive Optimization Routine; 3 Experimental Testing and Results; 4 Conclusion; References; Jaya: A New Meta-heuristic Algorithm for the Optimization of Braced Dome Structures; 1 Introduction; 2 The General Structure of Optimization Problem; 3 Optimization with Jaya Algorithm; 4 Numerical Example; 5 Conclusion; References
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2 Modelling of Wire-EDM Process for Optimization3 Parameter Optimization of Wire-EDM Process Using Multi-objective Artificial Bee Colony (MOABC) Algorithm; 4 Conclusion; References; Optimization of Process Parameters in Pulsed Electrochemical Honing Process Using Evolutionary Algorithms; 1 Introduction; 2 Methodology; 2.1 Total Volumetric MRR Theoretical Model in PECH Process While Straight Bevel Gear Finishing; 2.2 Depth of Surface Roughness Theoretical Model in PECH Process While Straight Bevel Gear Finishing; 2.3 Evolutionary Algorithms
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2.4 Optimization Results Using Evolutionary Algorithms3 Conclusion; References; Modeling and Simulation of Huge AC Power Network for Optimization of Corona Power Loss Through TLBO Algorithm; 1 Introduction; 2 Corona Development; 2.1 Problem Formulation; 3 Teaching-Learning-Based Optimization; 3.1 TLBO Algorithmic Rule; 3.2 Initialization of Corona Loss Drawback; 3.3 Corona Loss Problem Handling by TLBO; 4 Simulation Result; 5 Conclusion; References; Optimization of Water Distribution Networks Using Cuckoo Search Algorithm; 1 Introduction; 2 Problem Formulation; 2.1 Constraints
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3 Cuckoo Search Optimization4 CSNET; 5 Design Examples; 5.1 Two-Loop Network; 5.2 Hanoi Water Distribution; 6 Conclusions; References; GA-Based Hybrid Approach to Solve Fuzzy Multi-objective Optimization Model of Multi-application-Based COTS Selection Problem; 1 Introduction; 2 Multi-objective Optimization Model; 3 Formulation of Fuzzy Multi-objective COTS Optimization Models Using Possibility Distribution; 3.1 Formulation of Fuzzy Multi-objective COTS Optimization Model-1; 3.2 Crisp Multi-objective Optimization Model; 4 Solution Approach for Solving MOOM of COTS Selection Problem
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Damage Detection of Truss Employing Swarm-Based Optimization Techniques: A Comparison1 Introduction; 2 Mathematical Background; 2.1 Finite Element Formulation; 2.2 Damage Model; 2.3 Frequency and Modeshapes-Based Objective Function; 3 Optimization Algorithms; 3.1 Particle Swarm Optimization (PSO); 3.2 Ant Colony Optimization (ACO); 4 Numerical Results; 4.1 25 Member Plane Truss; 4.2 25 Member Space Truss; 5 Conclusions; References; Multi-objective Optimization of Wire-Electric Discharge Machining Process Using Multi-objective Artificial Bee Colony Algorithm; 1 Introduction
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| Abstract
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This book comprises select peer-reviewed papers presented at the International Conference on Advanced Engineering Optimization Through Intelligent Techniques (AEOTIT) 2018. The book combines contributions from academics and industry professionals, and covers advanced optimization techniques across all major engineering disciplines like mechanical, manufacturing, civil, automobile, electrical, chemical, computer and electronics engineering. Different optimization techniques and algorithms such as genetic algorithm (GA), differential evolution (DE), simulated annealing (SA), particle swarm optimization (PSO), artificial bee colony (ABC) algorithm, artificial immune algorithm (AIA), teaching-learning-based optimization (TLBO) algorithm and many other latest meta-heuristic techniques and their applications are discussed. This book will serve as a valuable reference for students, researchers and practitioners and help them in solving a wide range of optimization problems.
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| Subject
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Artificial intelligence-- Engineering applications.
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| Subject
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Computational intelligence.
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Artificial intelligence-- Engineering applications.
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| Subject
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Computational intelligence.
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| Dewey Classification
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620.001/51
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| LC Classification
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TA347.A78
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| Added Entry
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Taler, Jan.
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Venkata Rao, R.
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