Advances in Swarm Intelligence 8th International Conference, ICSI 2017, Fukuoka, Japan, July 27 - August 1, 2017, Proceedings, Part I

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Bibliographic Details
Main Authors Tan, Ying, Takagi, Hideyuki, Shi, Yuhui
Format eBook Conference Proceeding
LanguageEnglish
Published Cham Springer International Publishing AG 2017
Springer International Publishing
Edition1
SeriesLecture Notes in Computer Science
Subjects
Algorithm Analysis and Problem Complexity
Artificial Intelligence
Computational intelligence-Congresses
Computer Science
Data Mining and Knowledge Discovery
Numeric Computing
Simulation and Modeling
Swarm intelligence-Congresses
Online AccessGet full text
ISBN9783319618234
3319618237
ISSN0302-9743
1611-3349
DOI10.1007/978-3-319-61824-1

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Table of Contents:
  • Hybrid Comprehensive Learning Particle Swarm Optimizer with Adaptive Starting Local Search -- Abstract -- 1 Introduction -- 2 The Proposed ALS-HCLPSO Algorithm -- 2.1 PSO Algorithm and Local Search Method -- 2.2 Motivation of Adaptive Starting LS -- 2.3 Adaptive Strategy Based on Quasi-Entropy -- 2.4 Framework of ALS-HCLPSO Algorithm -- 3 Numerical Experiments and Analysis -- 3.1 Benchmark Functions and Experimental Settings -- 3.2 Convergence Precision -- 3.3 Comparison with Other PSO Variants -- 4 Conclusions -- Acknowledgements -- References -- A Bare Bones Particle Swarm Optimization Algorithm with Dynamic Local Search -- 1 Introduction -- 2 Related Work -- 3 Proposal of Bare Bones Particle Swarm Optimization with Dynamic Local Search -- 3.1 Initialization -- 3.2 Dynamic Local Search System -- 3.3 Evaluation -- 4 Experiment -- 4.1 Experimental Method -- 4.2 Experimental Results and Discussion -- 5 Conclusion -- References -- Improving Multi-layer Particle Swarm Optimization Using Powell Method -- 1 Introduction -- 2 Particle Swarm Optimization -- 2.1 Related Works -- 2.2 Challenge -- 3 Methodology -- 3.1 Strategy of MLPSO-Powell -- 3.2 Details of MLPSO-Powell -- 4 Experiments -- 4.1 Benchmark Functions and Compared Algorithms -- 4.2 Convergence Analysis -- 5 Conclusions -- References -- On the Improvement of PSO Scripts for Slope Stability Analysis -- Abstract -- 1 Introduction -- 2 PSO and Slope Stability Analysis -- 3 Improvement of PSO Scripts -- 4 Results and Discussion -- 5 Summary and Conclusions -- References -- A High-Dimensional Particle Swarm Optimization Based on Similarity Measurement -- 1 Introduction -- 2 Similarity Measure of High-dimensional Spatial Data -- 3 High-Dimensional PSO Algorithm -- 3.1 Definition of Lclose Distance -- 3.2 PSO Algorithm Based on Lclose Distance Space -- 4 Experimental Study
  • 3.2 Simulation Results -- 4 Related Work -- 5 Concluding Remarks -- References -- Model of Interruptions in Swarm Unit -- 1 Introduction -- 2 Time Characteristics Interruption-Free Algorithm -- 3 Model of Algorithm Interpretation at the Presence of Interruptions -- 4 Interruption Model as Semi-Markov Process -- 5 Conclusion -- References -- Novel Swarm-Based Optimization Algorithms -- Dolphin Pod Optimization -- 1 Introduction -- 2 Dolphin Pod Optimization Algorithm -- 3 DPO Setting Parameters -- 4 Performance Metrics -- 5 Numerical Results -- 5.1 Analytical Benchmark Functions -- 5.2 Hull-Form SBDO Problems -- 6 Conclusions -- References -- Teaching-Learning-Feedback-Based Optimization -- 1 Introduction -- 2 Standard TLBO Algorithm -- 2.1 Teacher Phase -- 2.2 Learner Phase -- 3 A Novel TLBO with Feedback Learning Phase (TLFBO) Algorithm -- 4 Experiments and Test Results -- 4.1 Benchmark Functions -- 4.2 Parameters Determination -- 4.3 Results and Discussion -- 5 Conclusion -- References -- Magnetotactic Bacteria Optimization Algorithm Based on Moment Interaction Energy -- Abstract -- 1 Introduction -- 2 The Magnetotactic Bacteria Optimization Algorithm -- 3 An Improved Magnetotactic Bacteria Optimization Algorithm -- 4 Experimental Setting and Results Analysis -- 5 Conclusions -- Acknowledgements -- References -- A Guide Sign Optimization Problem for an Added Road Based on Bird Mating Optimizer -- Abstract -- 1 Introduction -- 2 Problem Description -- 2.1 Mathematical Model of Guide Signs -- 2.2 Modeling of Guide Sign Optimization Problem for an Added Road -- 3 Solution Based on BMO -- 3.1 Coding for Feasible Solution -- 3.2 Objective Function -- 3.3 Mating Mode of BMO -- 3.4 Mutation Mode of BMO -- 4 Case Study -- 5 Conclusion -- Acknowledgement -- References -- LGWO: An Improved Grey Wolf Optimization for Function Optimization -- Abstract
  • 1 Introduction -- 2 Lévy-Flight Grey Wolf Optimization (LGWO) -- 3 Experimental Results and Discussions -- 4 Conclusions -- Acknowledgements -- References -- An Improved Monarch Butterfly Optimization with Equal Partition and F/T Mutation -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Monarch Butterfly Optimization -- 4 Improving MBO with Equal Partition and F/T Mutation -- 4.1 Equal Partition -- 4.2 Mutation -- 5 Simulation Results -- 6 Discussion and Conclusions -- Acknowledgements -- References -- Particle Swarm Optimization -- A Scalability Analysis of Particle Swarm Optimization Roaming Behaviour -- 1 Introduction -- 2 Particle Swarm Optimization Algorithms -- 2.1 The Gbest PSO Algorithm -- 2.2 The Constriction PSO Algorithm -- 2.3 The Barebones PSO Algorithm -- 2.4 The Guaranteed Convergence PSO Algorithm -- 3 Empirical Evaluation of PSO Roaming Behaviour -- 3.1 Investigation of Particle Roaming Behaviour Outside of the Feasible Search Space -- 3.2 Investigation of Particle Roaming Behaviour to Find Feasible Solutions Outside of the Initialization Space -- 4 Conclusion -- References -- The Analysis of Strategy for the Boundary Restriction in Particle Swarm Optimization Algorithm -- Abstract -- 1 Introduction -- 2 The Boundary Restriction Strategy in PSO -- 3 Experiment and Analysis -- 3.1 The Analysis of the Strategy that Putting the Particles Beyond the Search Space on the Boundary -- 3.2 The Analysis of the Random Updating Strategy -- 3.3 Summary of the Experiments -- 4 Conclusion -- Acknowledgments -- References -- Particle Swarm Optimization with Ensemble of Inertia Weight Strategies -- Abstract -- 1 Introduction -- 2 Literature Survey -- 2.1 Standard PSO -- 2.2 Different Inertia Weight Strategies -- 3 Proposed Method -- 4 Experimental Setup and Simulation Results -- 5 Conclusion -- Acknowledgment -- References
  • 4.1 Experimental Process and Parameter Setting -- 4.2 Experimental Results -- 5 Conclusions -- References -- A Center Multi-swarm Cooperative Particle Swarm Optimization with Ratio and Proportion Learning -- Abstract -- 1 Introduction -- 2 The Proposed MCPSO-RP -- 2.1 Reinterpret Learning Process with HPST and CLT -- 2.2 CMCPSO-RP -- 3 Experiment and Result -- 3.1 Benchmarks -- 3.2 Experimental Setting -- 3.3 Experimental Results -- 4 Conclusions and Future Work -- References -- Applications of Particle Swarm Optimization -- A Discrete Particle Swarm Algorithm for Combinatorial Auctions -- Abstract -- 1 Introduction -- 2 Problem Formulation -- 3 Particle Swarm Approach -- 4 Discrete Particle Swarm Algorithm -- 5 Numerical Results -- 6 Conclusions -- Acknowledgments -- References -- Registration of GPS and Stereo Vision for Point Cloud Localization in Intelligent Vehicles Using Particle Swarm Optimization -- 1 Introduction -- 2 Literature Review -- 3 Depth-Based Vehicle Localization in Point Cloud Maps -- 3.1 Algorithm Components -- 3.2 Algorithm: Sensor Fusion -- 3.3 Algorithm: Online Phase -- 4 Experimental Results -- 4.1 Offline Phase -- 4.2 Online Phase -- 5 Conclusion and Future Works -- References -- Immersed Tunnel Element Translation Control Under Current Flow Based on Particle Swarm Optimization -- Abstract -- 1 Introduction -- 2 Translation Control of Tunnel Element -- 2.1 Translation Velocity -- 2.2 Resistance of Immersed Tunnel Element Translation -- 2.3 Towing Force -- 3 Translation Control Model -- 4 Particle Swarm-Based Translation Control Optimization of Tunnel Element -- 5 Simulation -- 6 Conclusion -- Acknowledgment -- References -- Solving Inverse Kinematics with Vector Evaluated Particle Swarm Optimization -- 1 Introduction -- 2 Background -- 2.1 Inverse Kinematics -- 2.2 Multi-objective Optimization
  • Intro -- Preface -- Organization -- Contents -- Part I -- Contents - Part II -- Theories and Models of Swarm Intelligence -- Comparative Analysis of Swarm-Based Metaheuristic Algorithms on Benchmark Functions -- 1 Introduction -- 2 Swarm-Based Metaheuristic Algorithms -- 3 Experiments -- 4 Results Analysis -- 5 Conclusion -- References -- A Mathematical Model of Information Theory: The Superiority of Collective Knowledge and Intelligence -- Abstract -- 1 Algebraic Structure of Knowledge -- 2 The Dynamic System -- 3 The Value of Knowledge -- 4 Collective Knowledge -- 5 Maximal Knowledge: The Hypersurface -- 6 Through Knowledge: Intelligence -- 7 Collective Intelligence -- 8 Extending Intelligence: Wisdom -- 9 Conclusions -- References -- Modelling and Verification Analysis of the Predator-Prey System via a First Order Logic Approach -- 1 Introduction -- 2 First Order Logic Background -- 3 Unsatisfiability Methods -- 3.1 Davis and Putnam Rules -- 3.2 The Resolution Principle -- 4 Predator-Prey System -- 5 Conclusions -- References -- Flock Diameter Control in a Collision-Avoiding Cucker-Smale Flocking Model -- 1 Introduction -- 2 Preliminaries -- 2.1 Definition of Flocking -- 2.2 Collision Avoidance -- 3 Flock Diameter Control -- 3.1 Cohesive Force -- 3.2 Modified Cucker-Smale System -- 4 Simulation Results -- 4.1 Effect of Cohesive Force Coefficient -- 4.2 Effect of Initial Field Size -- 4.3 Effect of Collision Distance -- 5 Conclusions and Future Work -- References -- Building a Simulation Model for Distributed Human-Based Evolutionary Computation -- 1 Introduction -- 2 Simulation Model -- 2.1 Fitness Function and Evolutionary Operators of Humans -- 2.2 Information Sharing Method Using Identifiers Representing Human Interests -- 2.3 Human Movement -- 2.4 Timing of Human to Create a Solution Candidate -- 3 Simulation -- 3.1 Simulation Scenario
  • 2.3 Particle Swarm Optimization Algorithms