Minimizing energy consumption in a straight robotic assembly line using differential evolution algorithm

  • Mukund Nilakantan JanardhananEmail author
  • Peter Nielsen
  • Zixiang Li
  • S. G. Ponnambalam
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 620)


This paper focuses on implementing differential evolution (DE) to optimize the robotic assembly line balancing (RALB) problems with an objective of minimizing energy consumption in a straight robotic assembly line and thereby help to reduce energy costs. Few contributions are reported in literature addressing this problem. Assembly line balancing problems are classified as NP-hard, implying the need of using metaheuristics to solve realistic sized problems. In this paper, a well-known metaheuristic algorithm differential evolution is utilized to solve the problem. The proposed algorithm is tested on benchmark problems and the obtained results are compared with current state. It can be seen that the proposed DE algorithm is able to find a better solution for the considered objective function. Comparison of the computational time along with the cycle time is presented in detail.


energy consumption assembly line layout cycle time differential evolution 


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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Mukund Nilakantan Janardhanan
    • 1
    Email author
  • Peter Nielsen
    • 1
  • Zixiang Li
    • 2
  • S. G. Ponnambalam
    • 3
  1. 1.Department of Mechanical and Manufacturing EngineeringAalborg UniversityAalborgDenmark
  2. 2.Industrial Engineering DepartmentWuhan University of Science and TechnologyWuhan, HubeiChina
  3. 3.School of EngineeringMonash University MalaysiaBandar SunwayMalaysia

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