Agent-Based Evolutionary Search
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- 159٫99 US$
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- 159٫99 US$
وصف الناشر
The performance of Evolutionary Algorithms can be enhanced by integrating the concept of agents. Agents and Multi-agents can bring many interesting features which are beyond the scope of traditional evolutionary process and learning.
This book presents the state-of-the art in the theory and practice of Agent Based Evolutionary Search and aims to increase the awareness on this effective technology. This includes novel frameworks, a convergence and complexity analysis, as well as real-world applications of Agent Based Evolutionary Search, a design of multi-agent architectures and a design of agent communication and learning Strategy.
النوع
علم وطبيعة
تاريخ النشر
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١٢ يوليو
اللغة
EN
الإنجليزية
عدد الصفحات
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الناشر
Springer Berlin Heidelberg
البائع
Springer Nature B.V.
الحجم
٨٫٢
م.ب.
Issues in the Use of Neural Networks in Information Retrieval
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Artificial Neural Networks in Vehicular Pollution Modelling
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Adaptive Representations for Reinforcement Learning
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Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications
٢٠٠٩
Decision Making: Uncertainty, Imperfection, Deliberation and Scalability
٢٠٠٧
Prediction and Classification of Respiratory Motion
٢٠٠٨
Unified Computational Intelligence for Complex Systems
٢٠١٠
Computational Intelligence in Optimization
٢٠١٠
Handbook of Swarm Intelligence
٢٠١١
Group Search Optimization for Applications in Structural Design
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Embedded Automation in Human-Agent Environment
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Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition
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