Excerpt
CONTENTS
01 OVERVIEW
1.1 Preamble
1.2 Background of the work 1.2.2 Genetic Algorithm Techniques
1.2.3 Performance
1.2.4 Features of GA
1.2.5 Representation
1.26 Working Principles
1.2.7 Coding
1.2.8 Fitness Function
1.29 GA Operators
1.2.10 Selection : Roulette Wheel
1.3 Overview of present work
1.3.2 GA Operators
1.3.3 Tournament Selection
1.3.4 Specification of Problem
1.3.5 Mathematical model for Analysis
1.3.6 Objectiv Funktion
1.3.7 Design Variables
1.3.8 Constraints
1.3.9 The Basic GA
02 LITERATURE REVIEW
2.1 Flight Trajectory Optimization using GA 2.2 Optimal Pump Operation of water distribution systems using GA
2.3 Penalty function methods for constrained optimization with GAs
2.4 A Real Coded GA for optimization of cutting parameters in turning
2.5 Optimization of production planning in a Real world manufacturing environment
03 DEVELOPMENT OF NON-TRADITIONAL SEARCH
3.1 Introduction
3.2 Brief history of non-traditional optimization methods
3.2.1 Ant-Colony Optimization
3.2.2 Neural Network
3.2.3 Simulated Annealing
3.3 Proposed Non-Traditional Optimization Search Technique
3.3.1 Introduction
3.3.2 Benefits of GAs
3.3.3 Applications of Gas
04 FORMULATION OF WORK
4.1 Objective function
4.2 Design Variable
4.3 Binary Coding
4.5 Evaluation & Reproduction
4.6 Keys for solving problem
4.7 Crossover & Mutation
4.8 Flow chart of GA
05 RESULTS AND DISCUSSION
f(x) Vs Zg after evaluation & reproduction
f(x) Vs γn after evaluation & reproduction
f(x) Vs Zg after crossover & mutation
f(x) Vs γn after crossover & mutation
06 References
- Quote paper
- Dr. Durgesh Verma (Author), 2010, Application of Genetic Algorithm in Worm Gear Mechanism, Munich, GRIN Verlag, https://www.grin.com/document/208547
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