Global Journal of Technology and Optimization

Md. Julfikar Islam

Publications

• Research Article
  A Comparative Study on Prominent Swarm Intelligence Methods for Function Optimization
  Author(s): Md. Siddiqur Rahman Tanveer, Md. Julfikar Islam and Akhand MAHMd. Siddiqur Rahman Tanveer, Md. Julfikar Islam and Akhand MAH
  
  Optimization includes finding best available values of some objective function given a defined domain. Function optimization (FO) is the well-studied continuous optimization task which aim is to find best suited parameter values to get optimal value of a function. A number of techniques have been investigated in last few decades to solve FO and recently Swarm Intelligence (SI) methods, imitating power of the collective behavior of insects or animals, become popular to solve it. A number of SI methods have been developed on different time and tested on different test functions; therefore, it is important to compare the algorithms on a common test bench to identify their capability as well as best suited method for FO. The objective of this study is to draw a fair comparison among prominent SI methods in solving benchmark test functions. The SI methods considered in this study are Parti.. Read More»
  

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