Manufacturing Optimization through Intelligent Techniques (2006). (2017)

• Record Type: Book
• Authors: Saravanan, Rajendran
• Contents: Cover; Half Title; Title Page; Copyright Page; Dedication; Contents; Chapter 1 Manufacturing Optimization through Intelligent Techniques; Chapter 2 Conventional Optimization Techniques for Manufacturing Applications; 2.1 Brief Overview of Traditional Optimization Techniques; 2.2 Single Variable Techniques Suitable for Solving Various Manufacturing Optimization Problems (Direct Search M ethods); 2.2.1 Unrestricted Search; 2.2.2 Search with Fixed Step S ize; 2.2.2.1 Steps; 2.2.3 Search with Accelerated Step S ize; 2.2.4 Exhaustive Search M ethod; 2.2.5 Dichotomous Search; 2.2.6 Fibonacci Search. 2.2.7 Disadvantages2.2.8 Golden Search M ethod; 2.3 Multivariable Techniques Suitable for Solving Various Manufacturing Optimization Problems (Direct Search M ethods); 2.3.1 Evolutionary Optimization M ethod; 2.3.1.1 Algorithm; 2.3.2 Nelder-Mead Simplex M ethod; 2.3.2.1 Algorithm; 2.3.3 Complex M ethod; 2.3.4 Hooke-Jeeves Pattern Search M ethod; 2.3.4.1 Exploratory M ove; 2.3.4.2 Pattern M ove; 2.3.4.3 Algorithm; 2.4 Dynamic Programming Technique; 2.4.1 Representation of Multistage Decision Process; References. Chapter 3 Intelligent Optimization Techniques for Manufacturing Optimization Problems3.1 Genetic Algorithms (GA); 3.1.1 Working Principle of GA; 3.1.1.1 Two-Point Crossover; 3.1.1.2 Multipoint Crossover; 3.1.2 Fundamental Difference; 3.1.3 GA Parameters; 3.1.4 Selection Methods; 3.1.4.1 Fitness-Proportionate Selection with â#x80;#x9C;Roulette Wheelâ#x80;#x9D; and â#x80;#x9C;Stochastic Universalâ#x80;#x9D; Sampling; 3.1.4.2 Sigma Scaling; 3.1.4.3 Elitism; 3.1.4.4 Boltzmann Selection; 3.1.4.5 Rank Selection; 3.1.4.6 Tournament Selection; 3.1.4.7 Steady-State Selection; 3.1.5 Inheritance Operators. 3.1.6 Matrix Crossover (Two-Dimensional Crossover)3.1.7 Inversion and Deletion; 3.1.7.1 Inversion; 3.1.7.2 Linear + End-Inversion; 3.1.7.3 Continuous Inversion; 3.1.7.4 Mass Inversion; 3.1.7.5 Deletion and Duplication; 3.1.8 Crossover and Inversion; 3.2 Simulated Annealing (SA); 3.2.1 Optimization Procedure Using SA; 3.3 Ant Colony Optimization (ACO); 3.3.1 State Transition Rule; 3.3.2 Pheromone Updating Rule; 3.3.3 Steps in Ant Colony Algorithm; 3.4 Particle Swarm Optimization (PSO); 3.4.1 Background of Artificial Life; 3.4.2 Particle Swarm Optimization Technique. 3.4.3 Algorithm of Particle Swarm Optimization3.4.4 PSO Parameters Control; 3.4.5 Comparisons between Genetic Algorithm and PSO; 3.5 Tabu Search (TS); 3.5.1 Tabu Search Algorithm; 3.5.2 General Structure of Tabu Search; 3.5.2.1 Efficient Use of Memory; 3.5.3 Variable Tabu List Size; 3.5.4 Intensification of Search; 3.5.5 Diversification; 3.5.6 Stopping Criterion; References; Chapter 4 Optimal Design of Mechanical Elements; 4.1 Introduction; 4.1.1 Adequate Design; 4.1.2 Optimal Design; 4.1.3 Primary Design Equation; 4.1.4 Subsidiary Design Equations; 4.1.5 Limit Equations.
• Publisher Details: Boca Raton, FL : CRC Press
• Publication Date: 2017
• Extent: 1 online resource
• Subjects: 658.5; Industrial Engineering & Manufacturing; Quality Control & Reliability; Intelligent Systems; Manufacturing processes; Production engineering-Mathematical models; Electronic books
• Languages: English
• ISBNs: 9780203713204; 0203713206; 9781351360784; 1351360787; 9781351360777; 1351360779
• Related ISBNs: 1138106097; 9781138106093
• 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.