Search Results - (((((((kant OR wkant) OR wantsa) OR agent) OR cantor) OR anne) OR slave) OR hints) algorithms.

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  1. 1

    Network-Based Distributed Planning Using Coevolutionary Algorithms. by Subbu, Raj

    Published 2004
    Table of Contents: “…Combinatorial optimization. 2.3. Evolutionary algorithms. 2.4. Agents. 2.5. Distributed problem solving -- 3. …”
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    Algorithmic Puzzles. by Levitin, Anany, Levitin, Maria

    Published 2011
    Table of Contents: “…-- General strategies for algorithm design -- Analysis techniques -- Easier puzzles (#1 to #50) -- Puzzles of medium difficulty (#51 to #110) -- Harder puzzles (#111 to #150) -- Hints -- Solutions -- References -- Design stragety and analysis index.…”
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    Permutation Group Algorithms by Seress, kos

    Published 2003
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  7. 7

    Nature-inspired optimization algorithms by Yang, Xin-She

    Published 2014
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  8. 8

    Algorithms in invariant theory by Sturmfels, Bernd, 1962-

    Published 2008
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    Autonomous agents and multi-agent systems : explorations in learning, self-organization, and adaptive computation by Liu, Jiming, 1962-

    Published 2001
    Table of Contents: “…Learning. 1.4. Neural agents. 1.5. Evolutionary agents. 1.6. Learning in cooperative agents. 1.7. …”
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    Advanced Methods and Technologies for Agent and Multi-Agent Systems. by Edited by

    Published 2013
    Table of Contents: “…; ""Coordination, Cooperation and Teamwork""; ""Obligation and Prohibition Norms Mining Algorithm for Normative Multi-agent Systems""…”
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    Pathway modeling and algorithm research

    Published 2011
    Table of Contents: “…PATHWAY MODELING AND ALGORITHM RESEARCH; PATHWAY MODELING AND ALGORITHM RESEARCH; Contents; Preface; Biological Pathways and Their Modeling; Abstract; 1. …”
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    Agent-based computing

    Published 2010
    Table of Contents: “…AGENT-BASED COMPUTING -- AGENT-BASED COMPUTING -- CONTENTS -- PREFACE -- AGENT-BASED GENETIC ALGORITHM FOR GLOBAL NUMERICAL OPTIMIZATION AND FEATURE SELECTION -- 1. …”
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  15. 15

    Multi-Agent Coordination : A Reinforcement Learning Approach. by Sadhu, Arup Kumar

    Published 2020
    Table of Contents: “…Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Acknowledgments -- Chapter 1 Introduction: Multi-agent Coordination by Reinforcement Learning and Evolutionary Algorithms -- 1.1 Introduction -- 1.2 Single Agent Planning -- 1.2.1 Terminologies Used in Single Agent Planning -- 1.2.2 Single Agent Search-Based Planning Algorithms -- 1.2.2.1 Dijkstra's Algorithm -- 1.2.2.2 A* (A-star) Algorithm -- 1.2.2.3 D* (D-star) Algorithm -- 1.2.2.4 Planning by STRIPS-Like Language -- 1.2.3 Single Agent RL -- 1.2.3.1 Multiarmed Bandit Problem -- 1.2.3.2 DP and Bellman Equation…”
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    Pattern Recognition. by Theodoridis, Sergios

    Published 2008
    Table of Contents: “…Chapter 13 Clustering Algorithms II: Hierarchical AlgorithmsChapter 14 Clustering Algorithms III: Schemes Based on Function Optimization; Chapter 15 Clustering Algorithms IV; Chapter 16 Cluster Validity; Appendix A Hints from Probability and Statistics; Appendix B Linear Algebra Basics; Appendix C Cost Function Optimization; Appendix D Basic Definitions from Linear Systems Theory; Index.…”
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    Graph algorithms and applications 3

    Published 2004
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    Algorithmics of matching under preferences by Manlove, David F.

    Published 2013
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    Evolutionary computation in gene regulatory network research

    Published 2016
    Table of Contents: “…Nobile, Davide Cipolla, Paolo Cazzaniga and Daniela Besozzi -- Modelling Dynamic Gene Expression in Streptomyces Coelicolor: Comparing Single and Multi-Objective Setups / Spencer Angus Thomas, Yaochu Jin, Emma Laing and Colin Smith -- Reconstruction of Large-Scale Gene Regulatory Network Using S-system Model / Ahsan Raja Chowdhury and Madhu Chetty -- III: EAs for Evolving GRNs and Reaction Networks -- Design Automation of Nucleic Acid Reaction System Simulated by Chemical Kinetics Based on Graph Rewriting Model / Ibuki Kawamata and Masami Hagiya -- Using Evolutionary Algorithms to Study the Evolution of Gene Regulatory Networks Controlling Biological Development / Alexander Spirov and David Holloway -- Evolving GRN-inspired In Vitro Oscillatory Systems / Quang Huy Dinh, Nathanael Aubert, Nasimul Noman, Hitoshi Iba and Yannic Rondelez -- IV: Applications of GRN with EAs -- Artificial Gene Regulatory Networks for Agent Control / Sylvain Cussat-Blanc, Jean Disset, Stéphane Sanchez and Yves Duthen -- Evolving H-GRNs for Morphogenetic Adaptive Pattern Formation of Swarm Robots / Hyondong Oh and Yaochu Jin -- Regulatory Representations in Architectural Design / Daniel Richards and Martyn Amos -- Computing with Artificial Gene Regulatory Networks / Michael A. …”
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