Computational Collective Intelligence 10th International Conference, ICCCI 2018, Bristol, UK, September 5-7, 2018, Proceedings, Part II

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Main Authors Nguyen, Ngoc Thanh, Pimenidis, Elias, Khan, Zaheer, Trawiński, Bogdan
Format eBook Conference Proceeding
LanguageEnglish
Published Cham Springer International Publishing AG 2018
Springer International Publishing
Edition1
SeriesLecture Notes in Computer Science
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ISBN3319984454
9783319984452
ISSN0302-9743
1611-3349
DOI10.1007/978-3-319-98446-9

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Author Nguyen, Ngoc Thanh
Khan, Zaheer
Pimenidis, Elias
Trawiński, Bogdan
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SubjectTerms Algorithm Analysis and Problem Complexity
Artificial Intelligence
Artificial intelligence-Congresses
Computer Appl. in Administrative Data Processing
Computer Science
Computer software-Congresses
Special Purpose and Application-Based Systems
Subtitle 10th International Conference, ICCCI 2018, Bristol, UK, September 5-7, 2018, Proceedings, Part II
TableOfContents 3.4 Graphical Representation of Rules Clusters
3.3 Real-World Applications for Group Affect in Complex Decision-Making -- 4 Conclusion -- Acknowledgements -- References -- Parallel GEP Ensemble for Classifying Big Datasets -- 1 Introduction -- 2 GEP Ensemble Based on Stack Generalization Concept -- 2.1 Binary Classification -- 2.2 Multi-class Classification -- 3 Implementation -- 4 Experiment -- 5 Conclusions -- References -- A-Team Solving Distributed Resource-Constrained Multi-project Scheduling Problem -- 1 Introduction -- 2 Problem Formulation -- 3 A-Team Based MAS for Solving the DRCMPSP -- 3.1 JABAT Environment -- 3.2 JABAT for Solving the DRCMPSP -- 4 Computational Experiment -- 4.1 Problem Instances -- 4.2 Settings -- 4.3 Results -- 5 Conclusions and Future Work -- References -- Complex Decision Systems -- Solving the Uncapacitated Traveling Purchaser Problem with the MAX-MIN Ant System -- 1 Introduction -- 2 Related Work -- 3 ACO for the U-TPP -- 3.1 Dynamic Multi-dimensional Anamorphic Traveling Ants -- 3.2 Local Search -- 3.3 Proposed Algorithm -- 4 Experiments -- 5 Summary -- References -- Experimental Implementation of Web-Based Knowledge Base Verification Module -- 1 Introduction -- 2 Background Information -- 2.1 Anomalies in the Rule Knowledge Bases -- 2.2 Anomalies Detecting Methods and Related Works -- 3 Tools, Methods and Experiments -- 3.1 The KBExplorer System -- 3.2 Methods -- 3.3 Experiments -- 4 Conclusions -- References -- Methods of Rule Clusters' Representation in Domain Knowledge Bases -- 1 Introduction -- 2 Hierarchical Structure of a Knowledge Base -- 2.1 Agglomerative Hierarchical Clustering Algorithm -- 2.2 Clustering Parameters -- 3 Representation of Clusters by Using Their Representatives -- 3.1 Cluster Representatives Methods in the Literature -- 3.2 Proposed Approach -- 3.3 Numerical Characteristics of Rules Clusters
Intro -- Preface -- Organization -- Contents - Part II -- Contents - Part I -- Decision Support and Control Systems -- Design of Recursive Digital Filters with Penalized Spline Method -- Abstract -- 1 Introduction -- 2 Approaches to Problem Solution -- 3 Using a P-spline as a Digital Filter -- 4 Examining Frequency and Time Responses of a Recursive Spline Filter -- 5 Results of Computational Experiment -- 6 Conclusion -- Acknowledgment -- References -- An Adaptive Temporal-Causal Network Model for Decision Making Under Acute Stress -- Abstract -- 1 Introduction -- 2 Neurological Principles -- 3 The Adaptive Temporal-Causal Network Model -- 4 Example Simulation -- 5 Verification of the Network Model by Mathematical Analysis -- 6 Discussion -- References -- Chess Problem: CSA Algorithm Based on Simulated Annealing and Experimentation System -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Problem Statement -- 4 Algorithms -- 5 Experimentation System -- 6 Investigation -- 6.1 Experiment 1. Tuning of CSA Algorithm -- 6.2 Experiment 2. Comparing the Algorithms -- 7 Conclusion -- Acknowledgement -- References -- Single Machine Weighted Tardiness Problem: An Algorithm and Experimentation System -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Problem Statement -- 4 AIT Algorithm for Solving the Problem -- 5 Experimentation System -- 6 Investigation -- 6.1 Experiment Design -- 6.2 Influence of Inner Parameters -- 6.3 Comparison of Algorithms -- 7 Conclusion -- Acknowledgement -- References -- Large-Scale Evolutionary Optimization Using Multi-Layer Strategy Differential Evolution -- Abstract -- 1 Introduction -- 2 Classic Differential Evolution -- 3 Differential Evolution Strategies -- 4 Multi-Layer Strategies Differential Evolution -- 5 Experiments and Results -- 6 Conclusion -- Appendix: The Benchmark Functions Suite -- References
Proposition of a BDI-Based Distributed Partitioning Approach for a Multirobot System -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Proposed Approach -- 3.1 The Know-How and the BDI Model -- 3.2 The Partitioning Algorithm -- 4 Simulation Results and Discussion -- 5 Conclusion and Future Work -- References -- Diversifying Search in Bee Algorithms for Numerical Optimisation -- 1 Introduction -- 2 Relevant Works -- 3 Honeybee-Inspired Algorithms -- 3.1 Bees Algorithm (BA) -- 3.2 ABC Algorithm -- 4 Algorithms Revised -- 4.1 Bees Algorithm Revised (rBA) -- 4.2 ABC Algorithm Revised (rABC) -- 4.3 Hybrid Bees Algorithm (Hybrid) -- 5 Experimental Results -- 6 Conclusions -- References -- Solving the Quadratic Assignment Problem (QAP) Through a Fine-Grained Parallel Genetic Algorithm Implemented on GPUs -- 1 Introduction -- 1.1 Background -- 1.2 Quadratic Assignment Problem (QAP) -- 1.3 Parallel Genetic Algorithms -- 1.4 Local Search Heuristics 2-opt -- 1.5 Graphics Processing Units (GPUs) -- 2 Proposed Approach -- 3 Experiments -- 3.1 Experimental Setup -- 3.2 Results -- 4 Conclusions and Future Works -- References -- A New Distance Function for Consensus Determination in Decision Support Systems -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Basic Notions -- 4 Distance Function -- 5 Research Experiment -- 6 Conclusions -- References -- Cooperative Strategies for Decision Making and Optimization -- Hitchcock Birds Inspired Algorithm -- Abstract -- 1 Introduction -- 2 Alfred Hitchcock and the Birds -- 3 Hitchcock Birds Inspired Algorithm -- 3.1 Lurking -- 3.2 Attack -- 3.3 Stagnation and Reorganization -- 3.4 Algorithm -- 4 Results -- 5 Conclusions -- References -- Solving DVRPTW by a Multi-agent System with Vertical and Horizontal Cooperation -- 1 Introduction -- 2 Problem Formulation -- 3 Agent-Based Approach to DVRPTW
OPC UA Communication Traffic Control for Analogue Values in an Automation Device with Embedded OPC UA Servers -- Abstract -- 1 Introduction -- 2 OPC UA Standard -- 3 Test Environment -- 4 Test Results -- 4.1 Test Block One -- 4.2 Test Block Two -- 5 Discussion -- 6 Conclusion -- Acknowledgements -- References -- Application of Decision Trees for Quality Management Support -- Abstract -- 1 Introduction -- 2 Information Flow in ISA95-Based Manufacturing Execution Systems -- 3 Description of the ISA 95-Based Workflow in the Production of Electronic Devices -- 4 Application of Decision Trees to Support Workflow Scheduling -- 5 Conclusions -- Acknowledgements -- References -- Heuristic Algorithm for a Personalised Student Timetable -- 1 Introduction -- 2 Literature Review -- 3 Problem Description -- 4 Proposed Solution -- 5 Heuristic Algorithm -- 6 Results -- 7 Conclusion -- References -- A Flexible Evolutionary Algorithm for Task Allocation in Multi-robot Team -- Abstract -- 1 Introduction -- 2 Literature Review -- 3 Problem Description and Mathematical Formulation -- 4 Proposed Evolutionary Algorithm -- 4.1 Chromosome Representation -- 4.2 Variation Operators -- 4.3 Fitness Function -- 4.4 Penalty Function -- 5 Experiments and Validation Scheme -- 5.1 Experimental Setup -- 5.2 Validations -- 6 Results -- 7 Conclusion and Future Work -- References -- Predictive Memetic Algorithm (PMA) for Combinatorial Optimization in Dynamic Environments -- 1 Introduction -- 2 Problem Definition -- 3 Related Work -- 4 Dynamic Landscapes -- 5 Proposed Predictive MA -- 6 Experimental Results -- 7 Conclusion and Future Work -- References -- Modeling Competitive Game Players with a Positioning Strategy in the Great Turtle Race -- 1 Introduction -- 2 Rules and Strategies -- 3 Experimental Evaluation of Five Strategies -- 4 Conclusions and Future Work -- References
3.1 Agents and Communication Between Them -- 3.2 Simulation and Problem Solving -- 4 Computational Experiment -- 5 Conclusions -- References -- Cluster-Based Instance Selection for the Imbalanced Data Classification -- Abstract -- 1 Introduction -- 2 Problem Formulation -- 3 An Approach to the Cluster-Based Instance Selection for the Imbalanced Data -- 3.1 Instance Selection and Data Clustering -- 3.2 The Agent-Based Framework for Instance Selection -- 4 Computational Experiment -- 5 Conclusions -- References -- Building Collaboration in Multi-agent Systems Using Reinforcement Learning -- 1 Introduction -- 2 Background -- 3 Collaborating Agents with Q Learning -- 3.1 Particle Swarm Optimisation (PSO) -- 3.2 Q Learning -- 3.3 Swarms of Learning Agents -- 4 Scanning Disastrous Area with Swarm of Learning Agents -- 5 Experimental Results -- 5.1 Approximation and Evaluation -- 5.2 Individuals' Learning Behaviour -- 6 Conclusions -- References -- The Shapley Value for Multigraphs -- Abstract -- 1 Introduction -- 2 Shapley Value in Co-operative Games -- 3 Co-operative Approach to Multigraph -- 4 Shapley Value for Multigraph -- 5 Example -- 6 Conclusions and Future Considerations -- References -- Group Affect in Complex Decision-Making: Theory and Formalisms from Psychology and Computer Science -- Abstract -- 1 Introduction -- 2 The Role of Affect in Decision-Making -- 2.1 Affective Impact on Individual Behavior Level -- 2.2 Affective Impact on Collective Behavior Level -- 3 Computational Models Integrating Group Affect in the Decision-Making Process -- 3.1 Main Theories and Formalisms from Psychology and Computer Science -- 3.2 Comparison of Different Computational Models of Group Affect and Decision-Making -- 3.2.1 Computational Model from Mass Psychology: Psychological Model -- 3.2.2 Computational Models from Social Neuroscience: IMPACT and ASCRIBE
Title Computational Collective Intelligence
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