Seventh International Conference on Swarm Intelligence, Bali, Indonesien

Abbrevation

ICSI

Link

http://www.ic-si.org/

City

Bali

Country

Indonesia

Deadline Paper

2016-01-30

Start Date

2016-06-25

End Date

2016-06-30

Abstract

The seventh International Conference on Swarm Intelligence (ICSI’2016) serves as a very important forum and opportunity for scientists, engineers, educators, and practitioners to exchange the latest advantages in theories, technologies, and applications of swarm intelligence and related areas. The ICSI’2016 is the seventh annual event in the high–reputation ICSI series after Beijing joint event (ICSI–CCI’2015), Hefei event (ICSI’ 2014), Harbin event (ICSI’ 2013), Shenzhen event (ICSI’ 2012), Chongqing event (ICSI’ 2011) and Beijing event (ICSI’2010). Prospective authors are invited to contribute high–quality papers (6–12 pages) to ICSI’2016 through Online Submission System. Papers presented at ICSI’2016 will be published in Springer’s Lecture Notes in Computer Science (indexed by EI, ISTP, DBLP, SCOPUS, Web of Knowledge ISI Thomson? , etc.) and some high–quality papers will be selected for inclusion in special issues in SCI–indexed International Journals after the conference. Topic Areas Theories Swarm–based optimization techniques Swarm computing Stochastic diffusion search Swarm robotics Artificial life Bioinformatics Cognitive science Social evolution Optimization theories and methods Immune system theory Evolutionary computation Grammatical evolution Natural computing theories Simulation and emulation of nature Collective/Social intelligence Social intelligence Social computing Therapeutic strategies Convergence theory Stability theory Others Algorithms PSO algorithms ACO algorithms FSS algorithms Bees algorithms ABC algorithms Cultural/Social algorithms Genetic algorithms Differential evolution Fireworks algorithms Memetic algorithms Bio–inspired algorithms Evolutionary programming Evolutionary strategy Brain storm optimization algorithm Grammatical evolution Evolutionary learning systems Parallelization of swarm–based algorithms GPU–based implementation algorithms Nature–inspired algorithms Development swarm algorithms Other swarm–based algorithms Other natural computing algorithms Models Computational swarm models Multi–agent based complex systems Artificial immune system Evolutionary intelligent agents Analytic models of emergent behaviors Evolving fuzzy system Evolving neural networks Bio–inspired computing models Socio–inspired computing models Routing and scheduling Multi–objective optimization Many–objective optimization Constrained environment optimization Information system Combinatorial optimization models Function optimization Neural information system Differential Evolution Emerging Areas Molecular computing DNA computing Quantum computing Granularity computing Internet computing Applications Internet+ Applications Cloud computing Machine learning Active learning Deep learning Data mining Reinforcement learning Big Data Knowledge discovery Online & Self–adaptation Automatic control Intelligent traffic Computational Biology Web intelligence Intelligent energy systems and networks Information security Signal & Image processing Support vector machine Pattern recognition Deep neural networks Fuzzy logic and systems Virtual reality 2D or 3D virtual swarms Video surveillance Telecommunications systems Socio–technical systems Cybernetics and self–organization Natural language processing Other swarm intelligence related applications