Real WorldApplns. of Genetic Algorithms [appl. math]

00 preface_ Real-World Applications of Genetic Algorithms......Page 1
01_Different Tools on Multi-Objective
Optimization of a Hybrid Artificial Neural
Network – Genetic Algorithm for Plasma
Chemical Reactor Modelling......Page 15
02_Application of Bio-Inspired Algorithms and
Neural Networks for Optimal Design of Fractal
Frequency Selective Surfaces......Page 41
03_Evolutionary Multi-Objective Algorithms......Page 67
04_Evolutionary Algorithms Based on the Automata
Theory for the Multi-Objective Optimization of
Combinatorial Problems......Page 95
05_Evolutionary Techniques in Multi-Objective
Optimization Problems in Non-Standardized
Production Processes......Page 123
06_A Hybrid Parallel Genetic Algorithm for
Reliability Optimization......Page 141
07_Hybrid Genetic Algorithm-Support Vector
Machine Technique for Power Tracing in
Deregulated Power Systems......Page 161
08_Hybrid Genetic Algorithm for
Fast Electromagnetic Synthesis......Page 179
09_A Hybrid Methodology Approach for Container
Loading Problem Using Genetic Algorithm to
Maximize the Weight Distribution of Cargo......Page 197
10_Hybrid Genetic Algorithms for
the Single Machine Scheduling Problem
with Sequence-Dependent Setup Times......Page 213
11_Genetic Algorithms and Group Method
of Data Handling-Type Neural Networks
Applications in Poultry Science......Page 233
12_New Approaches to Designing Genes by
Evolution in the Computer......Page 249
13_Application of Genetic Algorithms and Ant
Colony Optimization for Modelling of
E. coli Cultivation Process......Page 275
14_Multi-Objective Genetic Algorithm to
Automatically Estimating the Input Parameters
of Formant-Based Speech Synthesizers......Page 297
15_Solving Timetable Problem by Genetic
Algorithm and Heuristic Search Case Study:
Universitas Pelita Harapan Timetable......Page 317
16_Genetic Algorithms for Semi-Static
Wavelength-Routed Optical Networks......Page 331
17_Surrogate-Based Optimization......Page 357