You are previewing International Journal of Swarm Intelligence Research (IJSIR) Volume 7, Issue 2.
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International Journal of Swarm Intelligence Research (IJSIR) Volume 7, Issue 2

Book Description

The International Journal of Swarm Intelligence Research (IJSIR) serves as a forum for facilitating and enhancing the information sharing among swarm intelligence researchers in the field, ranging from algorithm developments to real-world applications. Targeting at researchers, academicians, students, and engineers, this journal provides innovative findings in swarm intelligence, evolutionary computation, computational intelligence, optimization techniques, and their applications.

This issue contains the following articles:

  • Performance Comparison of Cuckoo Search Algorithm to Solve the Hybrid Flow Shop Scheduling Benchmark Problems with Makespan Criterion
  • Standard Deviation Method Based PSO: An Instigated Approach to Optimize Multi-Objective Manufacturing Process Parameters
  • Hybrid BFO and PSO Swarm Intelligence Approach for Biometric Feature Optimization