Earticle

초록

영어

The Harmony Search is a relatively new meta-heuristic algorithm for continuous optimization, in which its concept imitates the process of music improvisation. This paper proposes an improved harmony search algorithm called Harmony Search with Adaptive Pitch Adjustment (HSAPA). The adaptive pitch adjustment scheme during a search period is inspired from the velocity clamping in particle swarm optimizations. The pitch adjustment rate is also dynamically adapted. The proposed algorithm is evaluated using thirteen well-known benchmark functions of various characteristics. The experiment is performed using both 30 and 100 dimensions to investigate its performance at both medium and high number of decision variables. The experimental results demonstrate that HSAPA is reliably superior to all prior well-known harmony search variants and a recent widely-accepted variant of Differential Evolution algorithm. Furthermore, performance of HSAPA is shown not to be sensitive to its new parameter, which regulates the size of pitch adjustment.

목차

Abstract
 1. Introduction
 2. Reviews of Harmony Search
  2.1 Original Harmony Search
  2.2 Improved HS Variants
 3. The Proposed Harmony Search
 4. Performance Evaluation
  4.1 Experimental Setting
  4.2 Experimental Results and Analysis
 5. Conclusion
 References

키워드

저자

• Chukiat Worasucheep [ Applied Computer Science, Department of Mathematics, Faculty of Science, King Mongkut's University of Technology Thonburi, Bangkok 10140, Thailand ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605