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8 produkter
8 produkter
1 073 kr
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This introduction to the field of hyper-heuristics presents the required foundations and tools and illustrates some of their applications.
1 624 kr
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Also covered are automated generation of constructive and perturbative low-level heuristics, selection hyper-heuristics for automated design, automated design of deep-learning approaches using hyper-heuristics, genetic programming hyper-heuristics with transfer knowledge and automated design of classification algorithms.
1 624 kr
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Also covered are automated generation of constructive and perturbative low-level heuristics, selection hyper-heuristics for automated design, automated design of deep-learning approaches using hyper-heuristics, genetic programming hyper-heuristics with transfer knowledge and automated design of classification algorithms.
Applications of Artificial Intelligence and Data Science
First Global Conference, AAIDS 2024, London, UK, April 3–5, 2024, Proceedings
Häftad, Engelska, 2025
823 kr
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This CCIS post conference volume constitutes the proceedings of First Global Conference on Applications of Artificial Intelligence and Data Science, AAIDS 2024, in London, UK, April 2024. The 30 full papers presented were carefully reviewed and selected from 147 submissions. They were focused on topical sections as follows: Advanced Computing and Statistics; Data Science and Hybrid AI Systems.
- Nyhet
Del 16522 - Lecture Notes in Computer Science
Evolutionary Computation in Combinatorial Optimization
26th European Conference, EvoCOP 2026, Held as Part of EvoStar 2026, Toulouse, France, April 8–10, 2026, Proceedings
Häftad, Engelska, 2026
638 kr
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This book constitutes the referred proceedings of the 26th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2026, held as part of EvoStar 2026, in Toulouse, France, during April 8-10, 2026.The 10 full papers presented in this book were carefully reviewed and selected from 42 submissions. The 10 accepted papers cover a variety of topics, ranging from fitness landscape analysis, over adaptive methods, heuristics for real-world and NP-hard problems, and foundations of evolutionary computation algorithms to multi-objective optimization.
1 624 kr
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World Congress on Nature and Biologically InspiredComputing (NaBIC) is organized to discuss the state-of-the-art as well as toaddress various issues with respect to Nurturing Intelligent Computing TowardsAdvancement of Machine Intelligence. This Volume contains the papers presentedin the Seventh World Congress (NaBIC’15) held in Pietermaritzburg, South Africaduring December 01-03, 2015. The 39 papers presented in this Volume werecarefully reviewed and selected. The Volume would be a valuable reference toresearchers, students and practitioners in the computational intelligencefield.
1 064 kr
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This introduction to the field of hyper-heuristics presents the required foundations and tools and illustrates some of their applications.
- Nyhet
2 449 kr
Kommande
The field of hyper-heuristics has been developing rapidly over the years with a number of new advancements in the field. The book firstly examines the different levels of generality that can be attained by a hyper-heuristic and provides a standardization for hyper-heuristics. The book investigates a further level of generality in hyper-heuristics across discrete and continuous optimization. The concept of learning within hyper-heuristics is then reviewed. The use of hyper-heuristics for the automated design of machine learning and search algorithms as well as the automated design of hyper-heuristics and hybrid hyper-heuristics is examined. An overview of the use of approaches not previously employed by hyper-heuristics, such as neural networks, is given. Recent trends in computational intelligence, namely, transfer learning and explainable artificial intelligence, are reported in the context of hyper-heuristics. Recent applications of hyper-heuristics in areas such multi-objective optimization and search-based software engineering are also presented.This book is suitable for postgraduate students, researchers, and practitioners who are interested in evolutionary computing, artificial intelligence, or operations research.