Optimization is at the heart of many real world problems in various fields ranging from scientific research to industry and commerce. To tackle complex real world problems, experts have been looking into natural processes and creatures for years. Over the last years, nature-inspired search techniques andoptimization algorithms have been became the subject of many researches and currently are used in various field of science, ranging from scientific research to industry and commerce. The two main families of algorithms that primarily constitute this field today are the evolutionary computing methods and the swarm intelligence algorithms. Many heuristic algorithms in each group are invented where each one has its own distinguishing features. Furthermore, encountering various problems, algorithms are enhanced by offering different strategies including inventing different variants, producing specialized operators, co-evolution, hybridization, dynamic controlling, and so on. 2nd Conference on Swarm Intelligence and Evolutionary Computation (CSIEC2017) is an opportunity for researchers to share their contemporary knowledge in the field of nature-inspired intelligent computation based on the principles of swarm and evolutionary algorithms. The conference welcomes significant contributions in both English and Farsi languages.
CSIEC2017 is organized by Shahid Bahonar university of Kerman from 7-9 March, 2017. Contributions are invited for regular presentations and poster sessions. The venue of Conference will be at Faculty of Electric and computer Engineering of Shahid Bahonar university of Kerman, Iran.
Some outstanding papers will have the opportunity to recommend to the high-quality Journals after the meeting. I am sure that your involvement in the conference will indeed enhance the quality and originality of the articles presented to this forum.
Search Domains
Genetic Algorithms
Genetic Programming
Evolution Strategies
Evolutionary Programming
Differential Evolution
Artificial Immune Systems
Particle Swarm Optimization
Ant Colony Optimization
Bacterial Foraging
Artificial Bees
Harmony Search
Gravitational search algorithm
Quantum Computing
Memetic Computing
Fireflies Algorithm
Hybridization of Algorithms
Imperialism Competitive Learning
Tabu Search
Simulated Annealing
Bat Algorithm
Intelligent Water Drop
Other Metaheuristics
Problem Domains
Continuous
Binary
Discrete
Combinatorial
Multi-objective
Multi-modal
Dynamic
Large-scale
Many-objective
Co-evolution
Surrogate models
Encoding and Representation
Parameter Tuning
Performance Measures
Operators
Parallelization
Learning and Adaptation
Constrained
Stability and sensitivity analysis
Uncertainty
Mathematical analysis
Application Domains
Systems and Control
Robotics
Power Systems
Communication Engineering
Operations Research
Decision Sciences
Information Systems
internet computing
Bioinformatics
ComputationalBiology
Mechanical Designs
Business Intelligence
Image Processing
Computer Vision
Pattern Recognition
Signal Processing
Networks and Graphs
Manufacturing
Art and Music
Agriculture and food
Data mining
Language, Speech, Linguistics
Fuzzy Systems
Neural Networks
Machine Learning
Multi-Agent Systems
Medicine
Forecasting / Prediction
Scheduling
Software Engineering
Computer Architecture
Hardware Design
Industrial Applications
Energy Saving
03月07日
2017
03月09日
2017
初稿截稿日期
初稿录用通知日期
终稿截稿日期
注册截止日期
2016年03月09日 伊朗 Bam, Iran
2016 1st Conference on Swarm Intelligence and Evolutionary Computation
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