Journal of Computer Engineering & Information TechnologyISSN : 2324-9307

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Pezhman Ramezani Author

Subjects of specialization
Standard Deviation, Invasive Weed Optimization, Genetic Algorithm

Affiliation
Department of Industrial Engineering, K N Toosi University of Technology, Tehran, Iran

Biography

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.


Publications

Research Article Subscription

Harmony Search Algorithm: Strengths and Weaknesses

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.

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DOI: 10.4172/2324-9307.1000102

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