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New Achievements in Evolutionary Computation
Edited by Peter Korosec, ISBN 978-953-307-053-7, Hard cover, 318 pages, Publisher: InTech, Published: February 01, 2010 under CC BY-NC-SA 3.0 license, in subject Numerical Analysis and Scientific Computing
Evolutionary computation has been widely used in computer science for decades. Even though it started as far back as the 1960s with simulated evolution, the subject is still evolving. During this time, new metaheuristic optimization approaches, like evolutionary algorithms, genetic algorithms, swarm intelligence, etc., were being developed and new fields of usage in artificial intelligence, machine learning, combinatorial and numerical optimization, etc., were being explored. However, even with so much work done, novel research into new techniques and new areas of usage is far from over. This book presents some new theoretical as well as practical aspects of evolutionary computation. This book will be of great value to undergraduates, graduate students, researchers in computer science, and anyone else with an interest in learning about the latest developments in evolutionary computation.
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Book contents
- Chapter 1Diversity-Based Adaptive Evolutionary Algorithms
- Chapter 2Evolutionary Computation in Constraint Satisfaction
- Chapter 3Morphological-Rank-Linear Models for Financial Time Series Forecasting
- Chapter 4Evolutionary Logic Synthesis of Quantum Finite State Machines for Sequence Detection
- Chapter 5Conflicting Multi-Objective Compatible Optimization Control
- Chapter 6A Multi-Criterion Evolutionary Approach Applied to Phylogenetic Reconstruction
- Chapter 7New Perspectives in Predicting Membrane Protein-Protein Interactions
- Chapter 8Evolutionary Computation Applications in Current Bioinformatics
- Chapter 9GA-Based Q-Learning to Develop Compact Control Table for Multiple Agents
- Chapter 10Genetic Programming in Application to Flight Control System Design Optimisation
- Chapter 11Efficient Estimation of Distribution Algorithms by Using the Empirical Selection Distribution
- Chapter 12Solving Combinatorial Problems with Time Constrains Using Estimation of Distribution Algorithms and Their Application in Video-Tracking Systems
- Chapter 13Artificial Societies and Social Simulation Using Ant Colony, Particle Swarm Optimization and Cultural Algorithms
- Chapter 14Particle Swarm and Ant Colony Algorithms and Their Applications in Chinese Traveling Salesman Problem
