The hybrid whale optimization algorithm: A new metaheuristic algorithm for energy-efficient on flow shop with dependent sequence setup
Dana Marsetiya Utama1, Dian Setiya Widodo2, Muhammad Faisal Ibrahim3, Khoirul Hidayat4,
Teguh Baroto1, Aminatul Yurifah1
1 Department Industrial Engineering, University of Muhammadiyah Malang, Jl. Tlogomas No.
246, 65144 Malang, East Java, Indonesia
2 Department of Manufacturing Technology, Vocational Faculty, University of 17 Agustus 1945
Surabaya Jl. Semolowaru 60118 East Java, Indonesia
3 Logistics Department, Universitas Internasional Semen Indonesia Jl. Veteran Kabupaten
Gresik, Jawa Timur 61122, Indonesia
4 Department Agroindustrial, Trunojoyo University, Jl. Raya Telang, Kabupaten Bangkalan,
Jawa Timur 69162, Indonesia
Abstract. Recently, The industrial sector produces about half of the worlds total energy consumption. Manufacturing companies are required to reduce energy consumption. This article aims to develop a Hybrid Whale Optimization Algorithm (HWOA). We use the objective function of minimizing energy consumption. It solves the problem with permutation flow scheduling problems (PFSSP). Dependent sequence setup is a PFSSP problem with setups that depend on schedule sequence. We offer HWOA with local search strategies. The solution in each HWOA iteration is improved using flip and swap mutations. Furthermore, HWOA is compared with several algorithms. We use numerical experiments to show the performance of the proposed algorithm. Comparative analysis with several algorithms has previously been carried out with ten variations of PFSSP problems. Based on numerical experiments, HWOA proved to be competitive compared to other algorithms.
Keywords; Efficient; Energy; Flow shop; HWOA
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