Search Results - gradient-based optimizer AND math–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: Mohamed, Amal Amin Kamel, Salah Hassan, Mohamed H. et al.

Source: Mathematics (2227-7390); Feb2022, Vol. 10 Issue 3, p361, 1p

Subject Terms: ELECTRICAL load, RENEWABLE energy sources, MATHEMATICAL optimization, WIND power, STATIC VAR compensators, ELECTRIC power, HYBRID power systems

Airborne Hyperspectral Imagery for Band Selection Using Moth–Flame Metaheuristic Optimization.

Authors: Anand, Raju Samiaappan, Sathishkumar Veni, Shanmugham et al.

Source: Journal of Imaging; May2022, Vol. 8 Issue 5, p126-126, 21p

A self-adaptive exhaustive search optimization-based method for restoration of bridge defects images.

Authors: Mohammed Abdelkader, Eslam Marzouk, Mohamed Zayed, Tarek

Source: International Journal of Machine Learning & Cybernetics; Aug2020, Vol. 11 Issue 8, p1659-1716, 58p

Gaussian bare‐bones gradient‐based optimization: Towards mitigating the performance concerns.

Authors: Qiao, Zenglin Shan, Weifeng Jiang, Nan et al.

Source: International Journal of Intelligent Systems; Jun2022, Vol. 37 Issue 6, p3193-3254, 62p

Subject Terms: NEWTON-Raphson method, BACK propagation, MACHINE learning, SEARCH algorithms

Improve carbon dioxide emission prediction in the Asia and Oceania (OECD): nature-inspired optimisation algorithms versus conventional machine learning.

Authors: Foong, Loke Kok Blazek, Vojtech Prokop, Lukas et al.

Source: Engineering Applications of Computational Fluid Mechanics; Dec2024, Vol. 18 Issue 1, p1-26, 26p

Subject Terms: MACHINE learning, CARBON emissions, OPTIMIZATION algorithms, CLIMATE change mitigation, METAHEURISTIC algorithms

From ants to whales: metaheuristics for all tastes.

Authors: Fausto, Fernando Reyna-Orta, Adolfo Cuevas, Erik et al.

Source: Artificial Intelligence Review; Jan2020, Vol. 53 Issue 1, p753-810, 58p

Subject Terms: METAHEURISTIC algorithms, ANIMAL behavior, HUMAN behavior, MATHEMATICAL optimization, ANT algorithms