Search Results - gradient-based optimizer and moth–flame optimization algorithm*

Optimal Power Flow Analysis Based on Hybrid Gradient-Based Optimizer with Moth–Flame Optimization Algorithm Considering Optimal Placement and Sizing of FACTS/Wind Power

Authors: Amal Amin Mohamed Salah Kamel Mohamed H. Hassan et al.

Source: Mathematics, Vol 10, Iss 3, p 361 (2022)

Subject Terms: optimal power flow, wind power, FACTS devices, transmission line, hybrid technique, gradient-based optimizer and moth–flame optimization algorithm, Mathematics, QA1-939

File Description: electronic resource

Relation: https://www.mdpi.com/2227-7390/10/3/361; https://doaj.org/toc/2227-7390

Access URL: https://doaj.org/article/ac156a07fcc5477ab9b8ff4692609b55

Cuckoo optimization algorithm via Grey Wolf Optimizer for usage in engineering optimization and optimal power flow with renewable energy sources.

Authors: Abbassi, Rabeh Trojovský, Pavel Mansor, Zulkefli et al.

Source: Scientific Reports; 10/28/2025, Vol. 15 Issue 1, p1-37, 37p

Subject Terms: RENEWABLE energy sources, METAHEURISTIC algorithms, GREY Wolf Optimizer algorithm, ELECTRIC power distribution management, MATHEMATICAL optimization

A Hybrid Equilibrium Optimizer Based on Moth Flame Optimization Algorithm to Solve Global Optimization Problems.

Authors: Wang, Zongshan Ala, Ali Liu, Zekui et al.

Source: Journal of Artificial Intelligence & Soft Computing Research; 2024, Vol. 14 Issue 3, p207-235, 29p

Subject Terms: OPTIMIZATION algorithms, METAHEURISTIC algorithms, GLOBAL optimization, ROBOTIC path planning, EQUILIBRIUM, MOBILE robots, COMPARATIVE method

Swift Flight Optimizer: a novel bio-inspired optimization algorithm based on swift bird behavior.

Authors: Kareem, Abbas Aqeel Abid, Ahmed Jabbar Hammood, Dalal Abdulmohsin et al.

Source: Scientific Reports; 11/24/2025, Vol. 15 Issue 1, p1-33, 33p

Subject Terms: METAHEURISTIC algorithms, OPTIMIZATION algorithms, EVOLUTIONARY algorithms, MATHEMATICAL optimization, BENCHMARK problems (Computer science)

An improved educational competition optimizer with multi-covariance learning operators for global optimization problems.

Authors: Zhao, Baoqi Yang, Xiong Lee, Hoileong et al.

Source: Cluster Computing; Dec2025, Vol. 28 Issue 15, p1-26, 26p

Subject Terms: GLOBAL optimization, METAHEURISTIC algorithms, OPTIMIZATION algorithms, MATHEMATICAL optimization, BENCHMARK problems (Computer science), STATISTICS

Musk ox optimizer (MO): a novel optimization algorithm and its application.

Authors: Yuan, Yongliang Chong, Guangya Ren, Jianji et al.

Source: Cluster Computing; Dec2025, Vol. 28 Issue 16, p1-19, 19p

Subject Terms: OPTIMIZATION algorithms, METAHEURISTIC algorithms, MATHEMATICAL optimization, BENCHMARK testing (Engineering), POPULATION dynamics, STATISTICAL significance

Adams-Bashforth-Moulton optimizer: a novel metaheuristic algorithm for solving engineering optimization problems.

Authors: Deng, Yuanzhao Jiang, Yao Zheng, Shuting et al.

Source: Cluster Computing; Nov2025, Vol. 28 Issue 12, p1-54, 54p

Subject Terms: METAHEURISTIC algorithms, OPTIMIZATION algorithms, MATHEMATICAL optimization, MULTIDISCIPLINARY design optimization, COMPARATIVE studies

Raindrop optimizer: a novel nature-inspired metaheuristic algorithm for artificial intelligence and engineering optimization.

Authors: Chen, Shengjin Yang, Guangyong Cui, Guanghai et al.

Source: Scientific Reports; 10/1/2025, Vol. 15 Issue 1, p1-33, 33p

Subject Terms: ARTIFICIAL intelligence, METAHEURISTIC algorithms, PROCESS optimization, ROBOTICS, INVENTIONS, BENCHMARK problems (Computer science)

Research on the Optimization of Uncertain Multi-Stage Production Integrated Decisions Based on an Improved Grey Wolf Optimizer.

Authors: Gan, Weifei Zhou, Xin Wu, Wangyu et al.

Source: Biomimetics (2313-7673); Nov2025, Vol. 10 Issue 11, p775, 37p

Subject Terms: GREY Wolf Optimizer algorithm, PRODUCTION management (Manufacturing), ORGANIZATIONAL resilience, UNCERTAINTY (Information theory), MATHEMATICAL optimization, BIOLOGICALLY inspired computing, INSPECTION & review, DECISION making

Enhanced crayfish optimization algorithm with differential evolution's mutation and crossover strategies for global optimization and engineering applications: Enhanced crayfish optimization algorithm...: B. Maiti et al.

Authors: Maiti, Binanda Biswas, Saptadeep Ezugwu, Absalom El-Shamir et al.

Source: Artificial Intelligence Review; Mar2025, Vol. 58 Issue 3, p1-72, 72p

Subject Terms: METAHEURISTIC algorithms, OPTIMIZATION algorithms, GREY Wolf Optimizer algorithm, PARTICLE swarm optimization, GLOBAL optimization

Reinforcement learning guided Spearman dynamic opposite Gradient-based optimizer for numerical optimization and anchor clustering.

Authors: Sun, Kangjian Huo, Ju Jia, Heming et al.

Source: Journal of Computational Design & Engineering; Feb2024, Vol. 11 Issue 1, p12-33, 22p

Subject Terms: REINFORCEMENT learning, NEWTON-Raphson method, RANK correlation (Statistics), METAHEURISTIC algorithms, SEARCH algorithms, MATHEMATICAL optimization

An Enhanced Educational Competition Optimizer Integrating Multiple Mechanisms for Global Optimization Problems.

Authors: Li, Na Miao, Zi Zhou, Sha et al.

Source: Biomimetics (2313-7673); Nov2025, Vol. 10 Issue 11, p719, 58p

Subject Terms: GLOBAL optimization, OPTIMIZATION algorithms, SYSTEM of systems, BENCHMARK problems (Computer science), MATHEMATICAL optimization

Solving Optimal Power Flow Using New Efficient Hybrid Jellyfish Search and Moth Flame Optimization Algorithms.

Authors: Mayouf, Chiva Salhi, Ahmed Haidara, Fanta et al.

Source: Algorithms; Oct2024, Vol. 17 Issue 10, p438, 25p

Subject Terms: OPTIMIZATION algorithms, ELECTRICAL load, MATHEMATICAL functions, TEST systems, MATHEMATICAL optimization, HYBRID systems, METAHEURISTIC algorithms

An efficient intrusion detection method based on Rime-NeoEvo Optimizer algorithm.

Authors: Zhao, Guoliang Li, Wei Liu, Yazhi et al.

Source: Cluster Computing; Nov2025, Vol. 28 Issue 14, p1-17, 17p

Subject Terms: INTRUSION detection systems (Computer security), FEATURE selection, SENSITIVITY & specificity (Statistics), MATHEMATICAL optimization, STATISTICAL accuracy, COMPUTER network security

Cuckoo catfish optimizer: a new meta-heuristic optimization algorithm.

Authors: Wang, Tian-Lei Gu, Shao-Wei Liu, Ren-Ju et al.

Source: Artificial Intelligence Review; Oct2025, Vol. 58 Issue 10, p1-80, 80p

An intelligent hybrid grey wolf-particle swarm optimizer for optimization in complex engineering design problem.

Authors: Shaikh, Muhammad Suhail Lin, Haoyue Xie, Senlin et al.

Source: Scientific Reports; 5/26/2025, Vol. 15 Issue 1, p1-36, 36p

Subject Terms: GREY Wolf Optimizer algorithm, COST functions, COMPUTATIONAL mathematics, HEURISTIC algorithms, ENGINEERING design, PARTICLE swarm optimization

An efficient enhanced exponential distribution optimizer: applications in global, engineering, and combinatorial optimization problems.

Authors: Emam, Marwa M. Saad, Mohammed R. Younan, Mina et al.

Source: Journal of Big Data; 4/13/2025, Vol. 12 Issue 1, p1-55, 55p

Subject Terms: METAHEURISTIC algorithms, QUADRATIC assignment problem, OPTIMIZATION algorithms, GREY Wolf Optimizer algorithm, DISTRIBUTION (Probability theory)

Various optimization algorithms for efficient placement and sizing of photovoltaic distributed generations in different networks.

Authors: Diab, Ahmed A. Zaki Mahmoud, Fayza S. Sultan, Hamdy M. et al.

Source: PLoS ONE; 4/2/2025, Vol. 20 Issue 4, p1-48, 48p

Subject Terms: METAHEURISTIC algorithms, GREY Wolf Optimizer algorithm, OPTIMIZATION algorithms, DISTRIBUTED power generation, MATHEMATICAL optimization

A novel reward-based golden jackal optimization algorithm uses mix-weighted dynamic and random opposition learning to solve optimization problems.

Authors: Mohapatra, Sarada Sarangi, Priteesha Mohapatra, Prabhujit

Source: Cluster Computing; Oct2025, Vol. 28 Issue 5, p1-57, 57p

Subject Terms: OPTIMIZATION algorithms, PROBLEM solving, ALGORITHMS, ENGINEERING, METAHEURISTIC algorithms

PSSO: Political Squirrel Search Optimizer-Driven Deep Learning for Severity Level Detection and Classification of Lung Cancer.

Authors: Choudhury, Avishek Balasubramaniam, S. Kumar, Ambala Pradeep et al.

Source: International Journal of Information Technology & Decision Making; Nov2025, Vol. 24 Issue 8, p2373-2406, 34p

Subject Terms: LUNG cancer, DEEP learning, IMAGE segmentation, DIAGNOSIS, OPTIMIZATION algorithms, FUZZY neural networks, TUMOR classification, GENERATIVE adversarial networks