Journal ArticleDOI
Performance evaluation of genetic algorithms and evolutionary programming in optimization and machine learning
TLDR
Genetic Algorithms and Evolutionary Programming are investigated here in both optimization and machine learning, showing that while both algorithms may look similar in many ways their performance may differ for some applications.Abstract:
Genetic Algorithms (GAs) and Evolutionary Programming (EP) are investigated here in both optimization and machine learning. Adaptive and standard versions of the two algorithms are used to solve novel applications in search and rule extraction. Simulations and analysis show that while both algorithms may look similar in many ways their performance may differ for some applications. Mathematical modeling helps in gaining better understanding for GA and EP applications. Proper tuning and loading is a key for acceptable results. The ability to instantly adapt within an unpredictable and unstable search or learning environment is the most important feature of evolution-based techniques such as GAs and EP.read more
Citations
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An elitist nondominated sorting hybrid algorithm for multi-objective flexible job-shop scheduling problem with sequence-dependent setups
TL;DR: The main highlights of this paper are threefold, i.e., the operation-based sequence model, the problem-dependent job assignment rules and the novel evolutionary framework of ENSHA, which adopts the elitist nondominated sorting method for evolving MP to maintain high-quality solutions regarding both the convergence and diversity.
An Indexed Bibliography of Genetic Algorithms Theory and Comparisons
Jarmo T. Alander,Michael D. Vose +1 more
Journal Article
Genetic-Neural Approach versus Classical Approach for Arabic Character Recognition Using Freeman Chain Features Extraction.
TL;DR: A hybrid technique for the recognition of typed Arabic characters that is compact, online, robust, and feasible from hardware point of view and uses Learning Vector Quantization (LVQ) technique for classifying the same chain.
Journal ArticleDOI
A review of UAV Visual Detection and Tracking Methods
Raed Abu Zitar,Sofian Kassaymeh +1 more
TL;DR: In this paper , a review of techniques used for the detection and tracking of UAVs or drones is presented, which are different techniques that depend on collecting measurements of the position, velocity, and image of the UAV and then using them in detecting and tracking.
References
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Journal ArticleDOI
Classifier Systems and the Animat Problem
TL;DR: The results support the classifier system approach to the animat problem, but suggest work aimed at the emergence of behavioral hierarchies of classifiers to offset slower learning rates in larger problems.
Journal ArticleDOI
A mathematical framework for studying learning in classifier systems
Journal ArticleDOI
Neurocontrollers trained with rules extracted by a genetic assisted reinforcement learning system
TL;DR: This paper proposes a novel system for rule extraction of temporal control problems and presents a new way of designing neurocontrollers that employs a hybrid genetic search and reinforcement learning strategy for extracting the rules.
The Truck Backer-Upper: An Example of Self-Learning in Neural Networks
TL;DR: This chapter contains sections titled: Introduction, Training, Summary and Results, Acknowledgments, References.
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