Advanced engineering optimization through intelligent techniques : select proceedings of AEOTIT 2018 /: select proceedings of AEOTIT 2018. (2020)

• Record Type: Book
• Further Information: Note: R. Venkata Rao, Jan Taler, editors.
• Other Names: Venkata Rao, R; Taler, Jan; AEOTIT (Conference)
• Contents: 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 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 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 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 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
• Publisher Details: Singapore : Springer
• Publication Date: 2020
• Extent: 1 online resource (836 pages)
• Subjects: 620.001/51; Computational intelligence; Artificial intelligence -- Engineering applications; Artificial intelligence -- Engineering applications; Computational intelligence; Electronic books
• Languages: English
• ISBNs: 9789811381966; 9811381968
• Related ISBNs: 9789811381959
• Notes: Note: Online resource; title from PDF title page (EBSCO, viewed July 16, 2019)
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.