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Guendouzi W, Boukra A. A new differential evolution algorithm for cooperative fuzzy rule mining: application to anomaly detection. EVOLUTIONARY INTELLIGENCE 2021. [DOI: 10.1007/s12065-021-00637-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Motevali MM, Shanghooshabad AM, Aram RZ, Keshavarz H. WHO: A New Evolutionary Algorithm Bio-Inspired by Wildebeests with a Case Study on Bank Customer Segmentation. INT J PATTERN RECOGN 2019. [DOI: 10.1142/s0218001419590171] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Numerous evolutionary algorithms have been proposed which are inspired by the amazing lives of creatures, such as animals, insects, and birds. Each inspired algorithm has its own advantages and disadvantages, and has its own way to accomplish exploration and exploitation. In this paper, a new evolutionary algorithm with novel concepts, called Wildebeests Herd Optimization (WHO), is proposed. This algorithm is inspired by the splendid life of wildebeests in Africa. Moving and migration are inseparable from wildebeests’ lives. When a wildebeest wants to choose its path during migration, it considers the best path known to itself, the location of the more mature wildebeests in the crowd, and the direction of wildebeests with high mobility. The WHO algorithm imitates these traits, and can concurrently explore and exploit the search space. For validating WHO, it is applied to optimization problems and data mining tasks. It is demonstrated that WHO outperforms other evolutionary algorithms, such as genetic algorithm (GA) and particle swarm optimization, in the assessed problems. Then, WHO is applied to the customer segmentation problem. Customer segmentation is one of the most important tasks of data mining, especially in the banking sector. In this paper, the customers of a bank with current accounts are segmented using WHO based on four aspects: profitability, cost, loyalty and credit; some of these aspects are calculated in a novel way. The results were welcome by the bank authorities.
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Affiliation(s)
- Mohammad Mahdi Motevali
- Computer Engineering Department, Islamic Azad University, Semnan Branch, Semnan 3519744571, Iran
- Faculty of Electrical and Computer Engineering, Tarbiat Modares University, Tehran Province, Tehran, Al Ahmad Street No. 7. Jalal, Iran
| | - Ali Mohammadi Shanghooshabad
- Computer Engineering Department, Islamic Azad University, Semnan Branch, Semnan 3519744571, Iran
- Faculty of Electrical and Computer Engineering, Tarbiat Modares University, Tehran Province, Tehran, Al Ahmad Street No. 7. Jalal, Iran
| | - Reza Zohouri Aram
- Computer Engineering Department, Islamic Azad University, Semnan Branch, Semnan 3519744571, Iran
- Faculty of Electrical and Computer Engineering, Tarbiat Modares University, Tehran Province, Tehran, Al Ahmad Street No. 7. Jalal, Iran
| | - Hamidreza Keshavarz
- Computer Engineering Department, Islamic Azad University, Semnan Branch, Semnan 3519744571, Iran
- Faculty of Electrical and Computer Engineering, Tarbiat Modares University, Tehran Province, Tehran, Al Ahmad Street No. 7. Jalal, Iran
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Wang GG, Gandomi AH, Alavi AH, Gong D. A comprehensive review of krill herd algorithm: variants, hybrids and applications. Artif Intell Rev 2017. [DOI: 10.1007/s10462-017-9559-1] [Citation(s) in RCA: 113] [Impact Index Per Article: 16.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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