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students. It is also meant for those who wish to apply evolutionary computing to a particular problem or within a given application area. The book;
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Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing presents an introduction to some of the;
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This book gathers papers presented at the 13th International Conference on Genetic and Evolutionary Computing (ICGEC 2019), which was held;
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This book features selected research papers presented at the International Conference on Evolutionary Computing and Mobile Sustainable;
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: an introduction to the fundamentals of neural networks, fuzzy logic, and evolutionary computing a rigorous treatment of intelligent;
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submissions. This volume features the most up-to-date research in evolutionary algorithms, parallel computing and quantum computing, evolutionary;
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the well established evolutionary algorithm, to help readers to understand the basic building blocks and steps required to successfully;
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demonstrate the issues associated with the integration of evolutionary computing techniques, transport modelling and cost-benefit analysis to achieve;
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Evolutionary Algorithms in Engineering and Computer Science Edited by K. Miettinen, University of Jyvaskyla, Finland M. M. Makela;
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This volume constitutes the thoroughly refereed post-conference proceedings of the 7th International Conference on Swarm, Evolutionary, and;
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introduction and a practical guide to nature-based computational approaches that will find numerous applications in a variety of growing fields;
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This volume constitutes the thoroughly refereed post-conference proceedings of the 5th International Conference on Swarm, Evolutionary, and;
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This volume constitutes the thoroughly refereed post-conference proceedings of the 6th International Conference on Swarm, Evolutionary, and;
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techniques. Culling material from the Handbook of Evolutionary Computation, Evolutionary Computation 1: Basic Algorithms and Operators contains up-to;
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techniques. Culling material from the Handbook of Evolutionary Computation, Evolutionary Computation 1: Basic Algorithms and Operators contains up-to;
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of topics, ranging from applications of evolutionary computation; applications of deep bioinspired algorithms; soft computing applied to games;
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areas of optimization, optimal design and evolutionary computing. This text provides an excellent introduction to the use of evolutionary;
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through a changing environment. Besides some recent developments in areas like rough sets and probabilistic networks, fuzzy logic, evolutionary;
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, icSoftComp 2020, held in Changa, India, in December 2020. Due to the COVID-19 pandemic the conference was held online. The 24 full papers and 4;
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. The papers are organized according to the topical headings: evolutionary computation and swarm intelligence; neural networks and machine;
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This book examines how two distinct strands of research on autonomous robots, evolutionary robotics and humanoid robot research, are;
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jointly by Vignan's Institute of Information Technology, Visakhapatnam, India and VFSTR Deemed to be University, Guntur, AP, India during 03-04;
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attainment function approach to performance evaluation in EMO; runtime analysis of evolutionary algorithms: basic introduction; meta-model assisted;
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sections headed by an introduction and a list of new concepts and programs. By using practical computing to explore evolutionary concepts and;
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sections headed by an introduction and a list of new concepts and programs. By using practical computing to explore evolutionary concepts and;
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For courses in Computer Programming with Python. Social Computing and Programming with Python Introduction to Computing and Programming;
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solved using evolutionary computations, including evolutionary algorithms and swarm intelligence Consists of four main parts: Introduction to;
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