Swarm intelligence based optimization : first International Conference, ICSIBO 2014, Mulhouse, France, May 13-14, 2014 : revised selected papers

This book constitutes the thoroughly refereed post-conference proceedings of the Second International Conference on Swarm Intelligence Based Optimization, ICSIBO 2016, held in Mulhouse, France, in June 2016. The 9 full papers presented were carefully reviewed and selected from 20 submissions. They are centered around the following topics: theoretical advances of swarm intelligence metaheuristics combinatorial discrete, binary, constrained, multi-objective, multi-modal, dynamic, noisy, and large scale optimization artificial immune systems, particle swarms, ant colony, bacterial forging, artificial bees, fireflies algorithm hybridization of algorithms parallel/distributed computing, machine learning, data mining, data clustering, decision making and multi-agent systems based on swarm intelligence principles adaptation and applications of swarm intelligence principles to real world problems in various domains. Front Matter....Pages I-X Combining PSO and FCM for Dynamic Fuzzy Clustering Problems....Pages 1-8 Metaheuristics for Solving a Hybrid Flexible Flowshop Problem with Sequence-Dependent Setup Times....Pages 9-25 Using Particle Swarm Optimization Method to Invert Active Surface Waves....Pages 26-34 A Fuzzy-Controlled Comprehensive Learning Particle Swarm Optimizer....Pages 35-41 Fuzzy Logic Control Optimized by Artificial Immune System for Building Thermal Condition....Pages 42-49 Smooth Trajectory Planning for Robot Using Particle Swarm Optimization....Pages 50-59 Multi-level Parallelization for Hybrid ACO....Pages 60-67 Parallel and Distributed Implementation Models for Bio-inspired Optimization Algorithms....Pages 68-79 Using Bio-inspired Algorithm to Compensate Web Page Color Contrast for Dichromat Users....Pages 80-88 Comparison of Two Swarm Intelligence Optimization Algorithms on the Textual Color Problem for Web Accessibility....Pages 89-97 How Much Forcing Is Necessary to Let the Results of Particle Swarms Converge?....Pages 98-105 The Use of Ontology in Semantic Analysis of the Published Learners Messages for Adaptability....Pages 106-114 A Hybrid PSO Applied to the Flexible Job Shop with Transport....Pages 115-122 Multiple Mobile Target Tracking in Wireless Sensor Networks....Pages 123-130 Swarm Projects: Beyond the Metaphor....Pages 131-138 An Enhanced Particle Swarm Optimisation Algorithm Combined with Neural Networks to Decrease Computational Time....Pages 139-156 Robust Multi-agent Patrolling Strategies Using Reinforcement Learning....Pages 157-165 BSG-Starcraft Radius Improvements of Particle Swarm Optimization Algorithm: An Application to Ceramic Matrix Composites....Pages 166-174 An Efficient ACO-SA Hybrid Metaheuristic for the Synchronization of Single Frequency Networks in Broadcasting....Pages 175-184 Floods Trajectories Modeling and Dynamic Relief Planning: A Bees Foraging Approach....Pages 185-191 Back Matter....Pages 193-193 This book constitutes the thoroughly refereed post-conference proceedings of the 1st International Conference on Swarm Intelligence Based Optimization, ICSIBO 2014, held in Mulhouse, France, in May 2014. The 20 full papers presented were carefully reviewed and selected from 48 submissions. Topics of interest presented and discussed in the conference focuses on the theoretical progress of swarm intelligence metaheuristics and their applications in areas such as: theoretical advances of swarm intelligence metaheuristics, combinatorial, discrete, binary, constrained, multi-objective, multi-modal, dynamic, noisy, and large-scale optimization, artificial immune systems, particle swarms, ant colony, bacterial foraging, artificial bees, fireflies algorithm, hybridization of algorithms, parallel/distributed computing, machine learning, data mining, data clustering, decision making and multi-agent systems based on swarm intelligence principles, adaptation and applications of swarm intelligence principles to real world problems in various domains.