Pezhman Ramezani Author
Subjects of specialization
Affiliation
Standard Deviation, Invasive Weed Optimization, Genetic Algorithm
Department of Industrial Engineering, K N Toosi University of Technology, Tehran, Iran
Pezhman Ramezani is from Department of Industrial Engineering at K N Toosi University of Technology, Tehran, Iran. Pezhman Ramezani Research Interests are Standard Deviation, Invasive Weed Optimization, Genetic Algorithm. In Khaje Nasir Toosi University of Technology his position was Teacher Assistant of Operations Research.
Research Article Subscription
Author(s): Milad Ahangaran and Pezhman Ramezani
Harmony Search Algorithm: Strengths and Weaknesses
For better understanding the metaheuristic algorithms, a detailed analysis of their search mechanism will be very important. This study concentrates on the search mechanism of a powerful metaheuristic algorithm, namely, Harmony Search (HS) algorithm. To optimize different optimization problems, the HS algorithm uses three rules, namely, Random Selecting (RS), Harmony Memory Considering (HMC), and Pitch Adjusting (PA) rules, which are inspired from the process that the musicians use to improvise a perfect state of harmony.
... view moreĀ»