New Optimization Techniques in Engineering
Presently, general-purpose optimization techniques such as Simulated Annealing, and Genetic Algorithms, have become standard optimization techniques. Concerted research efforts have been made recently in order to invent novel optimization techniques for solving real life problems, which have the att...
| Main Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2004, 2004
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| Edition: | 1st ed. 2004 |
| Series: | Studies in Fuzziness and Soft Computing
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| Subjects: | |
| Online Access: | |
| Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
Table of Contents:
- 1: Introduction
- 2: Introduction to Genetic Algorithms for Engineering Optimization
- 3: Memetic Algorithms
- 4: Scatter Search and Path Relinking: Foundations and Advanced Designs
- 5: Ant Colony Optimization
- 6: Differential Evolution
- 7: SOMA — Self-Organizing Migrating Algorithm
- 8: Discrete Particle Swarm Optimization, illustrated by the Traveling Salesman Problem
- 9: Applications in Heat Transfer
- 10: Applications in Mass Transfer
- 11: Applications in Fluid Mechanics
- 12: Applications in Reaction Engineering
- 13: New Ideas and Applications of Scatter Search and Path Relinking
- 14: Improvement of Search Process in Genetic Algorithms: An Application of PCB Assembly Sequencing Problem
- 15: An ANTS Heuristic for the Long-Term Car Pooling Problem: ACO
- 16: Genetic Algorithms in Irrigation Planning: A Case Study of Sri Ram Sagar Project, India
- 17: Optimization of Helical Antenna Electromagnetic Pattern Field
- 18: VLSI design: Gate Matrix Layout Problem
- 19: Parametric Optimization of a Fuzzy Logic Controller for Nonlinear Dynamical Systems using Evolutionary Computation
- 20: DNA Coded GA: Rule Base Optimization of FLC for Mobile Robot
- 21: TRIBES application to the flow shop scheduling problem
- 22: Optimizing CNC Drilling Machine Operations: Traveling Salesman Problem-Differential Evolution Approach
- 23: Particle swarm optimization for the assignment of facilities to locations
- 24: Differential Evolution for the Flow Shop Scheduling Problem
- 25: Evaluation of Form Errors to Large Measurement Data Sets Using Scatter Search
- 26: Mechanical engineering problem optimization by SOMA
- 27: Scheduling and Production & Control: MA
- 28: Determination of Optimal Machining Conditions Using Scatter Search
- 29: Extended Frontiers in optimizationtechniques