Intelligent Optimisation Techniques: Genetic Algorithms, Tabu Search, Simulated Annealing and Neural Networks

Authors:
D. T. Pham;D. Karaboga
Affiliations:
-;-
Venue:
Intelligent Optimisation Techniques: Genetic Algorithms, Tabu Search, Simulated Annealing and Neural Networks
Year:
2011

Citing 0
Cited 2

Development of a parallel optimization method based on genetic simulated annealing algorithm

Parallel Computing
Evolutionary approach in inventory routing problem

IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advences in computational intelligence - Volume Part II

Quantified Score

Hi-index	0.00

Visualization

Abstract

This work gives a concise introduction to four important optimization techniques, presenting a range of applications drawn from electrical, manufacturing, mechanical, and systems engineering-such as the design of microstrip antennas, digital FIR filters, and fuzzy logic controllers. The book also contains the C programs used to implement the main techniques for those wishing to experiment with them.