„Programming Techniques.“
Suchergebnisse
2.563 Treffer
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Book Review: Swarm Intelligence by James Kennedy, Russell C. Eberhart, with Yuhui Shi
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Evolvable hardware – Springer, Genetic and Evolutionary Computation Series, edited by Tetsuya Higuchi, Yong Liu and Xin Yao, 224 pp, ISBN 0-387-24386-0
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Book Review: Genetic Programming and Data Structures: Genetic Programming+Data Structures=Automatic Programming
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Theoretical and Experimental DNA Computation – Published by: Springer-Verlag, Martyn Amos 172 pages, 78 figures, 2005, ISBN-10 3-540-65773-8
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Book Review: Data Mining Using Grammar-Based Genetic Programming and Applications
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Biologically Inspired Algorithms for Financial Modelling – Published by: Springer, A. Brabazon and M. O’Neill, 2006, ISBN 3-540-26252-0, $85
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“Machine learning assisted evolutionary multi- and many-objective optimization” by Dhish Kumar Saxena, Sukrit Mittal, Kalyanmoy Deb, and Erik D. Goodman, ISBN 978-981-99-2095-2, Springer, 2024
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Sean Luke: essentials of metaheuristics
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Leonardo Vanneschi and Sara Silva: lectures on intelligent systems
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John H. Holland: Signals and boundaries: building blocks for complex adaptive systems – MIT Press, 2012
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Case model landscapes: toward an improved representation of knowledge-intensive processes using the fCM-language
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“The physics of evolution” by Michael W. Roth, Crc press, 2023
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Benjamin Doerr and Frank Neumann (editors): theory of evolutionary computation – Springer, 2020, Hardcover, 518 pages, ISBN: 978-3-030-29413-7
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A. V. Fiacco/G. P. McCormick, Nonlinear Programming: Sequential Unconstrained Minimization Techniques. XIV + 210 S. m. Fig. New York/London/Sydney/Toronto 1969. John Wiley and Sons, Inc. Preis. geb. £ 5,20
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SustainScrum: integrating sustainability assessment in a tailored Scrum process for computing quantitative sustainability indicators
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On the adoption of blockchain for business process monitoring
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TCTracer: Establishing test-to-code traceability links using dynamic and static techniques
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On theory and management of dependencies between models
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Guest editorial to the special section on PoEM’2022
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Nirupam Chakraborti: Data-Driven Evolutionary Modeling in Materials Technology – CRC Press, 2023, ISBN: 978-1-032-06173-3