Adaptation in Natural and Artificial Systems.An Introductionary Analysis With Application to Biology? Control and Artificial Intelligence.

Genetic Algorithms in Search, Optimization and Machine Learning.

Evolutionstrategie: Optimierung technisher Systems nach Prinzipien der biologischen Evolution.

Genetic Programming.

Самообучающиеся системы распознавания и автоматического управления.

Основы теории обучающихся систем.

Статистические методы поиска.

Эволюционное моделирование и его приложения.

Эвоинформатика: теория и практика эволюционного моделирования.

Генетические алгоритмы.

Генетические алгоритмы.

Теория эволюционных вычислений.

Основы эволюционных вычислений.

Genetic Algorithms + data structures=Evolution Programs.

Нейронные сети, генетические алгоритмы и нечеткие системы.

Introduction to genetic algorithms.

No free lunch theorems for search / Operations research

No Free Lunch Theorems for Search Technical

Adaptation in Natural and Artificial Systems. An Introductory Analysis with Application to Biology - Control and Artificial Intelligence.

Genetic Algorithms in Search, Optimization and Machine Learning.

Генетические алгоритмы.

Основы эволюционных вычислений.

Genetic Algorithms + data structures=Evolution Programs.

Тестовые наборы для задачи коммивояжера [Электронный ресурс].

Тестовые наборы для задачи коммивояжера [Электронный ресурс].

Моделирование и тестирование дискретных устройств.

Генетические алгоритмы для сокращения диагностической информации //Автоматика и телемеханика.

Combinational profiles of sequential benchmark circuits // Proceed. of 1989 Intern. Symposium on Sequential Circuits

Моделирование, тестирование и диагностика цифровых устройств.

Современные модификации и обобщения генетических алгоритмов // Таврический вестник компьютерных наук и математики

Основы эволюционных вычислений.

An introduction to genetic algorithms.

Нейронные сети, генетические алгоритмы и нечеткие системы.

Genetic Algorithms + data structures=Evolution Programs.

Adaptation in genetic algorithms. In: Genetic algorithms for pattern recognition.

A comparison of parallel and sequential niching methods.//Proceedings of VI International conference on genetic algorithms.

Lamarkian evolution, the Baldwin effect & function optimization, in Davidor Y., Schwefel H., Manner R., editors, Parallel problem solving from nature: PPSN III

Lamarkian learning in multi-agent environment//Proceedings of the 4th international conference on genetic algorithms

A genetic algorithm applied to robot trajectory generation. Davis L.editor, Handbook of genetic algorithms

A memetic approach for the traveling salesman problem: implementation of computational ecology for combinatorial optimization on message-passing systems//Proceedings of international conference on parallel computing & transporter application

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The selfish gene.

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Network models and optimization.

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"Auto-tuning strategy for evolutionary algorithms:Balancing between exploration and exploitation," Soft Computing,vol. 13

Reducing the search time of a steady state genetic algorithm using the immigration operator//Proceedings IEEE International Conference Toolsfor AI.- 1991

Основы эволюционных вычислений.

Параллельные генетические алгоритмы// Науков? прац? Донецького национального техн?чного ун?верситету, сер?я "Обчислювальна техн?ка та автоматизац?я",

A survey of parallel distributed genetic algorithms//Complexity.

Parallelism and evolutionary algorithms//IEEE Trans. On evolutionary computation.

Computional intelligence: introduction. John Wiley&Sons Ltd.

ECHO: Explorations of Evolution in a Miniature World. In J.D. Farmer and J. Doyne, editors, Proceedings of the Second Conference on Artificial Life

Learning, adaptation and evolution of intelligent robotic system. In proceedi.H.Holland. ECHO: Explorations of evolution in miniature world. In J.D.Farmer an ngs of the IEEE international symposium on intelligent control, 1988

New methods for competitive coevolution. Evolutionary computation, 1997.- 5(1).

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A cooperative coevolutionary approach to function optimization. In T.Davidor, H-P. Schwefel and R.Manner, editors, Proceedings of the paralltl problem solving from nature, 1994

Evolving neural networks with collaborative species. In proceedings of the summer computer simulation conference, 1995

A coevolutionary approach to learning sequential desicision rules. In L.Eshelman, editor, Proceedings of the sixth international conference on genetic algorithms, 1995

Manual di Economica Polittica, Societa Editrice Libraia, Milan, Italy,1906; translated into English by A.S.Schwier, as Manual of Political Economy.

Network models and optimization.

Genetic Algorithms + data structures=Evolution Programs.

Нейронные сети, генетические алгоритмы и нечеткие системы.

Multiple objective optimization with vector evaluated genetic algorithms, Proceeding 1st International Conference on Gas

Genetic Algorithms for Multiobjective Optimization: Formulation, Discussion and Generalization, Proceeding 5th International Conference on Gas

A multiobjective genetic local search algorithm and its applications to flowshop scheduling// IEEE Transactions on Systems, Man and Cybernetics,1998.- 28(3),

Genetic algorithms and engineering optimization

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A learning machine: part1// IBM J. research and development.-1958

Genetic Programming.

Основы эволюционных вычислений

Искусство программировния.Т.1

Genetic programming: introduction.

A comparison of linear genetic programming and neural networks in medical data mining// IEEE Transactions on Evolutionary Computation.

Linear-graph GP - a new GP structure// Proceedings of the 4th European Conference on Genetic Programming.

Модификации генетического программирования//Труды конференций "Интеллектуальные системы" и "Интеллектуальные САПР"

Extened genetic programming with recombinative guidance.

Neural Network Synthesis using Cellular Encoding and the Genetic Algorithm. PhD thesis, Laboratoire del'Informatique du Parallelisme, Ecole Normale Superieure de Lyon, France.

Lindermayer A. The Algorithmic Beaty of Plants

Grammaticaly-based genetic programming // In Roska J.P.,editor, Proceedings of the workshop on Genetic Programming:From Theory to Real-World Application

Adaptation in Natural and Artificial Systems. An Introductory Analysis with Application to Biology. Control and Artificial Intelligence.

Using genetic algorithms for concepts learning// Machine Learning.

Genetic Algorithms in Search, Optimization and Machine Learning.

Machine Learning

Genetic Algorithms + data structures=Evolution Programs.

Classifier fitness based on accuracy//Evolutionary Computation, №3(2)

Generalization in the XCS classifier system// Genetic Programming 1998: Proceedings of the Third Annual Conference

Based Evolutionary Online Learning

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The Selfish Gene Algorithm: a new Evolutionary Optimization Strategy. Proceedings of the ACM Symposium on Applied Computation.

Вероятностные и компактные генетические алгоритмы// Искусственный интеллект

Основы эволюционных вычислений.

Метаэвристики.

Evolutionstrategie: Optimierung technisher Systems nach Prinzipien der biologischen Evolution.

Genetic Algorithms + data structures=Evolution Programs.

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Numerical Optimization of Computer Models.

Performance Improvement of Evolution Strategies using Reinforcement Learning. In Proceedings of the IEEE International Fuzzy Systems Conference, volume 2

Step Size Adaption in Evolution Strategies using Reinforcement Learning. In Proceedings of the IEEE Congress on Evolutionary Computation, volume 1

An Evolution Strategy with Coordinate System Invariant Adaption of Arbitrary Normal Mutation Distributions within The Concept of Mutative Strategy Parameter Control. In Proceedings of the Genetic and Evolutionary Computation Conference

Towards Self-Adapting Evolution Strategies// Proceedings of the Second IEEE Conference on Evolutionary Computation

An Evolution Strategy with Competing Subpopulations// Proceedings of the IEEE International Symposium on Computational Intelligence in Robotics and Automation, 1997

Directed Mutation - A New Self-Adaption for Evolution Strategies. In Proceedings of the IEEE Congress on Evolutionary Computationю.-1999

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Artificial Intelligence throw Simulated Evolution.

Revisiting Evolutionary Programming

Evolutional computation: toward a new philosophy of machine entelligence. New York:IEEE Press.

Evolutionary Design be Computers.

Computional intelligence: introduction.

System Identification throught Simulated Evolution: A Machine Learning Approach to Modeling.

Combining Mutation Operators in Evolutionary Programming/ IEEE Transactions on Evolutionary Computation.-1998.-2(3)

Learning to play games using a PSO-based competitive learning approach//IEEE Transactions on Evolutionary Computations.-8(3).

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Evolutionary programming using mutations based on the Levy probability distribution//IEEE Transactions on Evolutionary Computations.-8(2)

Combining mutation operatots in evolutionary programming// IEEE Transactions on Evolutionary Computations.-2(3)

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An Overview of Evolutionary Algorithms for Parameter Optimization. Evolutionary Computation,1(1)

An Evolutionary That Constructs Recurrent Neural Networkd.//IEEE Transactions on Neural Networks, 5(1).

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Evolutionary programming based optimal power flow algorithm//IEEE Transactions on Power Systems.-14(4)

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The ant system applied to the quadratic assignment problem//IEEE transactions on knowledge and data engineering, № 11(5)

Ant system: optimization by a colony of cooperative agents//IEEE transactions on systems, man and cybernetics-part B,№ 26(1).

Ant colony systems: a cooperative leaning approach to the traveling salesman problem//IEEE transactions on evolutionary computation.-№ 1(1).

MAX-MIN ant system and local search for the traveling salesman problem// Proceedings of the IEEE international conference on evolutionary computation.-1997

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FANT: fast ant system. Technical report IDSIA 46-98

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An ANTS heuristic for the frequency assignment problem//Future generation computer systems, №16(9)

Applying population base ACO to dynamic optimization problems// Proceedings of third international workshop on ant colony optimization and swarm intelligence.-2003

Dynamic ant colony optimization for TSP//International Journal of advanced manufacturing technology.№ 22(7-8)

Pheromone modification strategies for ant algorithms applied to dynamic TSP// Proceedings of the workshop on applications of evolutionary computing.-2001