活动简介

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.

征稿信息

重要日期

2016-12-10
初稿截稿日期
2017-01-15
初稿录用日期
2017-01-30
终稿截稿日期

征稿范围

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

留言
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重要日期
  • 会议日期

    03月07日

    2017

    03月09日

    2017

  • 12月10日 2016

    初稿截稿日期

  • 01月15日 2017

    初稿录用通知日期

  • 01月30日 2017

    终稿截稿日期

  • 03月09日 2017

    注册截止日期

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