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Journal : International Journal of Electrical and Computer Engineering

Best-worst northern goshawk optimizer: a new stochastic optimization method Kusuma, Purba Daru; Hasibuan, Faisal Candrasyah
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 6: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v13i6.pp7016-7026

Abstract

This study introduces a new metaheuristic method: the best-worst northern goshawk optimizer (BW-NGO). This algorithm is an enhanced version of the northern goshawk optimizer (NGO). Every BW-NGO iteration consists of four phases. First, each agent advances toward the best agent and away from the worst agent. Second, each agent moves relatively to the agent selected at random. Third, each agent conducts a local search. Fourth, each agent traces the space at random. The first three phases are mandatory, while the fourth phase is optional. Simulation is performed to assess the performance of BW-NGO. In this simulation, BW-NGO is confronted with four algorithms: particle swarm optimization (PSO), pelican optimization algorithm (POA), golden search optimizer (GSO), and northern goshawk optimizer (NGO). The result exhibits that BW-NGO discovers an acceptable solution for the 23 benchmark functions. BW-NGO is better than PSO, POA, GSO, and NGO in consecutively optimizing 22, 20, 15, and 11 functions. BW-NGO can discover the global optimal solution for three functions.
Half mirror algorithm: a metaheuristic that hybridizes swarm intelligence and evolution-based system Kusuma, Purba Daru; Hasibuan, Faisal Candrasyah
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 3: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i3.pp3320-3331

Abstract

This paper promotes a new metaheuristic called the half mirror algorithm (HMA). As its name suggests, HMA offers a new kind of mirroring search. HMA is developed by hybridizing swarm intelligence and the evolution system. Swarm intelligence is adopted by constructing several autonomous agents called swarms. On the other hand, the evolution system is adopted using arithmetic crossover based on a particular reference called a mirror. Four mirrors are used in HMA: the best swarm member, a randomly selected swarm member, the central point of the space, and the corresponding swarm member. During the confrontative assessment, HMA is confronted with average and subtraction-based optimization (ASBO), total interaction algorithm (TIA), walrus optimization algorithm (WaOA), coati optimization algorithm (COA), and clouded leopard optimization (CLO). The result shows that HMA is superior to ASBO, TIA, WaOA, COA, and CLO in 20, 19, 19, 20, and 20 out of 23 functions, respectively. Moreover, HMA has found the global optimal of eight functions. It means the superiority of HMA occurs in almost entire functions. In the future, the mirroring search can be combined with the guided and neighborhood search to construct a more powerful metaheuristic.
Swarm flip-crossover algorithm: a new swarm-based metaheuristic enriched with a crossover strategy Kusuma, Purba Daru; Hasibuan, Faisal Candrasyah
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 2: April 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i2.pp2145-2155

Abstract

A new swarm-based metaheuristic that is also enriched with the crossover technique called swarm flip-crossover algorithm (SFCA) is introduced in this work. SFCA uses swarm intelligence as its primary technique and the crossover as its secondary one. It consists of three searches in every iteration. The swarm member walks toward the best member as the first search. The central point of the swarm becomes the target in the second search. There are two walks in the second search. The first walk is getting closer to the target, while the second is avoiding the target. The better result between these two walks becomes the candidate for the replacement. In the third search, the swarm member performs balance arithmetic crossover with the central point of the space or jumps to the opposite location within the area (flipping). The assessment is taken by confronting SFCA with five new metaheuristics: slime mold algorithm (SMA), golden search optimization (GSO), osprey optimization algorithm (OOA), coati optimization algorithm (COA), and walrus optimization algorithm (WaOA) in handling the set of 23 functions. The result shows that SFCA performs consecutively better than SMA, GSO, OOA, COA, and WaOA in 20, 23, 17, 17, and 17 functions.
Co-Authors Abdi Hazman Abdul Rohim Achmad Rizal Aditya Enggar Adrian Sabagus Tanazri Afifah Shalihah Agita Chrisna Agita Fajar Prabowo Ahmad Fauzan Fauti Albert Kurniawan, Albert Alfiansyah, Alvan Anas Satria Anas Satria Andrew Brian Osmond Andri Liem Anggraini, Ratika Dwi ANGGUNMEKA LUHUR PRASASTI Anton Siswo Raharjo Anton Siswo Raharjo Ansori Anton Siswo Raharjo Ansori Anton Siswo Raharjo AnsoriI Arief Ilham Novandi Arief Ilham Novandi Ario Dewantoro Asep Mulyana Ashri Dini Maharawati Ashri Dinimaharawati Ashridini Maharawati Astrid Melati Aulia Wildan Axel David Bangkit Surya Praja Budhi Irawan Burhannuddin Dirgantoro Casi Setianingsih Cut Aisyah Ilmi Deyan Havith Dailamy Diantoro Arifian Dimas Anjar Saputro Dipo Suryantoro Dwi Putra, Sulistyo Emantoko Fachry Reiza Fadli Idris Fairuz Azmi Faisal Candrasyah Hasibuan Fajar Hari Andriana Farhansyah Iqbal Fadjrianto Farid Reza Sukma Fauzan, Nadhifi Qurrunul Bahratu Fawwaz Aboeruslan Muyadi Fikri Reksa Maulana Fiqri Ramadhan Friza Fahmi Hutama Gabriela, Melanie Gema Wahyu Saputra Gerin Sonia Yuki Lumban Tobing Grace Cyndiana Hafidz Kahamdany Hafizh Septian Pristanto Hanatar Adi Naluri Harahap, M Yusril Fauzan Hariwidjaja, Valrama Wardhana Herwin Yudha Setyawan Hikmawan, Fakhrity Ikhsan Hakiki Ilham Arisyandy Ilham Majid Rabbani Ilyas Hermawan Irfan Setiawan Irham Imami Harahap Irma Damayanti Iwan Iwut Tritoasmoro Jabal Rachmah Jenni Teresia Kemas Muhammad Rizky Abdillah Khairunnisa Br Ginting Lutfi Hadi Wicaksono Mahaasin, Habib Irfan Markus Lamserep Hutauruk Meta Kallista Mirza Ahmad Febrian Mohammad Ibrahim Al Mahi Mohammad Viko Mashar Muhammad Agung Laksono Muhammad Alif Fathiraihan Muhammad Fadhil Muhammad Hafidz Muhammad Insan Aulia Muhammad Junaid Musa Muhammad Ken Muhammad Pascal Aryan Muhammad Taufik Hidayat Muhammad Thariq Machaz Nabhan, Muhammad Sidqi Nadhifah Nadhifah Naema Simanjuntak Nasheeri, Al Ghifary Akmal Naufira Septriyanti Nugraha, Alvin Yoga Nurdin Panji Christoper Silalahi Prabowo Wahyu Basuki Prayoga, Ivan Fernanda Putti, Fasya Hanifah Rachman Fadly Krisdiantoro Raja Ilham Maulidani Gumelar Raka Putra Gustian Ramadhan, Achmad Rionov Faddillah Ramadhanti, Tassya Randy Erfa Saputra Rangkuti, Abdul Haris Ratna Astuti Ratna Astuti Nugrahaeni Reza Rendian Septiawan Rifqi Muhammad Fikri Rizka Shinta Wulandari Rizki Akbari Tamin Rizky Maulana Roswan Latuconsina Rumaini M Rumani M Ryan Adytia Ryan Gani Dharmawan Salimah, Hurin Salwa, Nabilah Samgusdian, Arfara Yema Saputra, Agung Aji Saputra, Dany Eka Septian Putra Manuel Simangunsong Septian Rizki Agrianto Silvia Latifah Putri Suaib, Fauzil Fahrezi Theodore Dian Arief Sianipar Tinton Aji Sadewo Tito Waluyo Purboyo Utama, Muhammad Aimar Rizki Whibi Waskita Wicaksono Wijaya, Anjas Rahmanta Cahya Wilda Satria Yohanes Yogas Herlambang Yoviandi Eka Prakoso Yulin Zurina Zaki Zamzami Zurratul Ikhsan