Swarm Intelligence Based Optimization [electronic resource] : Second International Conference, ICSIBO 2016, Mulhouse, France, June 13-14, 2016, Revised Selected Papers /
Material type: TextSeries: Theoretical Computer Science and General Issues ; 10103Publisher: Cham : Springer International Publishing : Imprint: Springer, 2016Edition: 1st ed. 2016Description: IX, 125 p. 56 illus. online resourceContent type:- text
- computer
- online resource
- 9783319503073
- Algorithms
- Artificial intelligence
- Computer systems
- Computers, Special purpose
- Microprocessors
- Computer architecture
- Computer science -- Mathematics
- Discrete mathematics
- Algorithms
- Artificial Intelligence
- Computer System Implementation
- Special Purpose and Application-Based Systems
- Processor Architectures
- Discrete Mathematics in Computer Science
- 518.1 23
- QA76.9.A43
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.
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.
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