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New Optimization Techniques in Engineering
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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 optimization techniques.

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