CA-DE: Hybrid Algorithm Based on Cultural Algorithm and DE

  • Abhishek DixitEmail author
  • Sushil Kumar
  • Millie Pant
  • Rohit Bansal
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 748)


Optimization problems can be articulated by numerous practical problems. These glitches stance a test for the academics in the proposal of proficient procedures skilled in digging out the preeminent elucidation with the slightest computing cost. In this study, we worked on differential evolution and cultural algorithm, conglomerates the features of both the algorithms, and proposes a new evolutionary algorithm. This jointure monitors the complex collaboration amalgam of two evolutionary algorithms, where both are carried out in analogous. The novel procedure termed as CA-DE accomplishes an inclusive inhabitant that is pooled among both metaheuristics algorithms concurrently. The aspect of the recycled approval action in credence space is to update the information of the finest individuals with the present information. This collective collaboration arises among both the algorithms and is presented to mend the eminence of resolutions, ahead of the individual performance of both the algorithms. We have applied the newly proposed algorithm on a set of six standard benchmark optimization problems to evaluate the performance. The comparative results presented demonstrate that CA-DE has an encouraging accomplishment and expandable conducts while equated with new contemporary advanced algorithms.


Nature-inspired computation (NIC) Cultural algorithm (CA) Evolutionary computation (EC) Differential evolution (DE) 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Abhishek Dixit
    • 1
    Email author
  • Sushil Kumar
    • 1
  • Millie Pant
    • 2
  • Rohit Bansal
    • 3
  1. 1.Amity UniversityNoidaIndia
  2. 2.Indian Institute of Technology RoorkeeRoorkeeIndia
  3. 3.Rajiv Gandhi Institute of Petroleum TechnologyNoidaIndia

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