"Evolutionary Algorithms" ed. by Eisuke Kita

Evolutionary algorithms are successively applied to wide optimization problems in the engineering, marketing, operations research, and social science, such as include scheduling, genetics, material selection, structural design and so on. Apart from mathematical optimization problems, evolutionary algorithms have also been used as an experimental framework within biological evolution and natural selection in the field of artificial life.

Contents
Preface
Part 1 Algorithms
1 Hybridization of Evolutionary Algorithms
2 Linear Evolutionary Algorithm
3 Genetic Algorithm Based on Schemata Theory
4 In Vitro Fertilization Genetic Algorithm
5 Bioluminescent Swarm Optimization Algorithm
6 AMemetic Particle Swarm Optimization Algorithm for Network Vulnerability Analysis
7 Quantum-Inspired Differential Evolutionary Algorithm for Permutative Scheduling Problems
8 Quantum-Inspired Particle Swarm Optimization for Feature Selection and Parameter Optimization in Evolving Spiking Neural Networks for Classification Tasks
9 Analytical Programming - a Novel Approach for Evolutionary Synthesis of Symbolic Structures
10 PPCea: A Domain-Specific Language for Programmable Parameter Control in Evolutionary Algorithms
11 Evolution Algorithms in Fuzzy Data Problems
12 Variants of Hybrid Genetic Algorithms for Optimizing Likelihood ARMA Model Function and Many of Problems
13 Tracing Engineering Evolution with Evolutionary Algorithms
Part 2 Applications
14 Evaluating the a-Dominance Operator in Multiobjective Optimization for the Probabilistic Traveling Salesman Problem with Profits
15 Scheduling of Construction Projects with a Hybrid Evolutionary Algorithm's Application
16 A Memetic Algorithm for the Car Renter Salesman Problem
17 Multi-Objective Scheduling on a Single Machine with Evolutionary Algorithm
18 Evolutionary Algorithms in Decomposition-Based Logic Synthesis
19 A Memory-Storable Quantum-Inspired Evolutionary Algorithm for Network Coding Resource Minimization
20 Using Evolutionary Algorithms for Optimization of Analogue Electronic Filters
21 Evolutionary Optimization of Microwave Filters
22 Feature Extraction from High-Resolution Remotely Sensed Imagery using Evolutionary Computation
23 Evolutionary Feature Subset Selection for Pattern Recognition Applications
24 A Spot Modeling Evolutionary Algorithm for Segmenting Microarray Images
25 Discretization of a Random Field - a Multiobjective Algorithm Approach
26 Evolutionary Algorithms in Modelling of Biosystems
27 Stages of Gene Regulatory Network Inference: the Evolutionary Algorithm Role
28 Evolutionary Algorithms in Crystal Structure Analysis
29 Evolutionary Enhanced Level Set Method for Structural Topology Optimization