Search Results - Optimization Algorithm

Hippopotamus optimization algorithm: a novel nature-inspired optimization algorithm by Amiri, Mohammad Hussein, Mehrabi Hashjin, Nastaran, Montazeri, Mohsen, Mirjalili, Seyedali, Khodadadi, Nima

“…The novelty of this article lies in introducing a novel stochastic technique named the Hippopotamus Optimization (HO) algorithm…”
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Zebra Optimization Algorithm: A New Bio-Inspired Optimization Algorithm for Solving Optimization Algorithm by Trojovska, Eva, Dehghani, Mohammad, Trojovsky, Pavel

“…In this paper, a new bio-inspired metaheuristic algorithm called Zebra Optimization Algorithm (ZOA) is developed…”
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Student psychology based optimization algorithm: A new population based optimization algorithm for solving optimization problems by Das, Bikash, Mukherjee, V., Das, Debapriya

“…•A new student psychology based optimization (SPBO) algorithm is proposed.•Effectiveness of the SPBO is demonstrated through benchmark function test…”
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Young’s double-slit experiment optimizer : A novel metaheuristic optimization algorithm for global and constraint optimization problems by Abdel-Basset, Mohamed, El-Shahat, Doaa, Jameel, Mohammed, Abouhawwash, Mohamed

“…Due to the global progress, the optimization problems are becoming more and more…”
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An intelligent cluster optimization algorithm based on Whale Optimization Algorithm for VANETs (WOACNET) by Husnain, Ghassan, Anwar, Shahzad

“… Whale Optimization Algorithm for Clustering in Vehicular Ad hoc Networks (WOACNET) was introduced to select an optimum cluster head (CH…”
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Tasmanian Devil Optimization: A New Bio-Inspired Optimization Algorithm for Solving Optimization Algorithm by Dehghani, Mohammad, Hubalovsky, Stepan, Trojovsky, Pavel

“…In this paper, a new bio-inspired metaheuristic algorithm called Tasmanian Devil Optimization (TDO…”
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Lévy Flight Trajectory-Based Whale Optimization Algorithm for Global Optimization by Ling, Ying, Zhou, Yongquan, Luo, Qifang

“…The whale optimization algorithm (WOA) has been shown to be powerful in searching for an optimal solution…”
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Ebola Optimization Search Algorithm: A New Nature-Inspired Metaheuristic Optimization Algorithm by Oyelade, Olaide Nathaniel, Ezugwu, Absalom El-Shamir, Mohamed, Tehnan I. A., Abualigah, Laith

“… Motivated by the effectiveness of this strategy of propagation of the disease, a new bio-inspired and population-based optimization algorithm is proposed…”
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Meerkat optimization algorithm: A new meta-heuristic optimization algorithm for solving constrained engineering problems by Xian, Sidong, Feng, Xu

“…In this paper, we proposed a meerkat optimization algorithm(MOA) by simulating the behavior pattern of meerkats in nature…”
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Hunter–prey optimization: algorithm and applications by Naruei, Iraj, Keynia, Farshid, Sabbagh Molahosseini, Amir

“…This paper proposes a new population-based optimization algorithm called hunter–prey optimizer (HPO). This algorithm is inspired by the behavior of predator animals such as lions, leopards and wolves, and preys such as stag and gazelle…”
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An improved Jaya optimization algorithm with Lévy flight by Iacca, Giovanni, dos Santos Junior, Vlademir Celso, Veloso de Melo, Vinícius

“… In this paper, we investigate this idea by applying Lévy flight to Jaya, a simple yet effective Swarm Intelligence optimization algorithm recently proposed in the literature…”
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Partial reinforcement optimizer: An evolutionary optimization algorithm by Taheri, Ahmad, RahimiZadeh, Keyvan, Beheshti, Amin, Baumbach, Jan, Rao, Ravipudi Venkata, Mirjalili, Seyedali, Gandomi, Amir H.

“…In this paper, a novel evolutionary optimization algorithm, named Partial Reinforcement Optimizer (PRO), is introduced…”
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Attraction–Repulsion Optimization Algorithm for Global Optimization Problems by Cymerys, Karol, Oszust, Mariusz

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African vultures optimization algorithm: A new nature-inspired metaheuristic algorithm for global optimization problems by Abdollahzadeh, Benyamin, Gharehchopogh, Farhad Soleimanian, Mirjalili, Seyedali

“…•Statistical results demonstrate the merits of the proposed algorithm. Metaheuristics play a crucial role in solving optimization problems…”
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Moth–flame optimization algorithm: variants and applications by Shehab, Mohammad, Abualigah, Laith, Al Hamad, Husam, Alabool, Hamzeh, Alshinwan, Mohammad, Khasawneh, Ahmad M.

“… MFO is considered one of the promising metaheuristic algorithms and successfully applied in various optimization problems in a wide range of fields, such as power and energy systems, economic…”
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Socio evolution & learning optimization algorithm: A socio-inspired optimization methodology by Kumar, Meeta, Kulkarni, Anand J., Satapathy, Suresh Chandra

“…The paper proposes a novel metaheuristic Socio Evolution & Learning Optimization Algorithm (SELO…”
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Archimedes optimization algorithm: a new metaheuristic algorithm for solving optimization problems by Hashim, Fatma A., Hussain, Kashif, Houssein, Essam H., Mabrouk, Mai S., Al-Atabany, Walid

“… In this paper, a new metaheuristic algorithm called Archimedes optimization algorithm (AOA) is introduced to solve the optimization problems…”
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Hybrid Particle Filter-Particle Swarm Optimization Algorithm and Application to Fuzzy Controlled Servo Systems by Pozna, Claudiu, Precup, Radu-Emil, Horvath, Erno, Petriu, Emil M.

“…This article presents a hybrid metaheuristic optimization algorithm that combines particle filter (PF…”
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A novel hybrid system based on a new proposed algorithm—Multi-Objective Whale Optimization Algorithm for wind speed forecasting by Wang, Jianzhou, Du, Pei, Niu, Tong, Yang, Wendong

“…•We propose a new algorithm—Multi-Objective Whale Optimization Algorithm (MOWOA).•A novel hybrid system based on MOWOA is proposed for wind speed forecasting…”
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Greylag Goose Optimization: Nature-inspired optimization algorithm by El-kenawy, El-Sayed M., Khodadadi, Nima, Mirjalili, Seyedali, Abdelhamid, Abdelaziz A., Eid, Marwa M., Ibrahim, Abdelhameed

“… Such algorithms can be divided into evolution-based and swarm-based algorithms. This paper proposed a new nature-inspired optimizer called the Greylag Goose Optimization (GGO) algorithm…”
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