Compact sine cosine algorithm with multigroup and multistrategy for dispatching system of public transit vehicles

Minghui Zhu, Shu Chuan Chu, Qingyong Yang, Wei Li, Jeng Shyang Pan

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

This paper studies the problem of intelligence optimization, a fundamental problem in analyzing the optimal solution in a wide spectrum of applications such as transportation and wireless sensor network (WSN). To achieve better optimization capability, we propose a multigroup Multistrategy Compact Sine Cosine Algorithm (MCSCA) by using the compact strategy and grouping strategy, which makes the initialized randomly generated value no longer an individual in the population and avoids falling into the local optimum. New evolution formulas are proposed for the intergroup communication strategy. Performance studies on the CEC2013 benchmark demonstrate the effectiveness of our new approach regarding convergence speed and accuracy. Finally, we apply MCSCA to solve the dispatch system of public transit vehicles. Experimental results show that MCSCA can achieve better optimization.

Original languageEnglish
Article number5526127
Number of pages16
JournalJournal of Advanced Transportation
Volume2021
DOIs
Publication statusPublished - 30 Mar 2021
Externally publishedYes

Keywords

  • Public transport
  • optimization
  • Swarm intelligence algorithm
  • dispatch system

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