Improved Chaotic Sine cosine algorithm (ICSCA) for global optima

A Review of Enhancing Sine Cosine Algorithm: Common Approaches for Improved Metaheuristic Algorithms

QS Hamad, SAM Saleh, SA Suandi, H Samma… - … Methods in Engineering, 2024 - Springer
In recent years, the quest for optimizing metaheuristic algorithms has led to a surge in
research efforts aimed at enhancing their performance. While existing reviews have …
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Improving the Kepler optimization algorithm with chaotic maps: comprehensive performance evaluation and engineering applications

N El Ghouate, A Bencherqui, H Mansouri… - Artificial Intelligence …, 2024 - Springer
Abstract The Kepler Optimisation Algorithm (KOA) is a recently proposed algorithm that is
inspired by Kepler's laws to predict the positions and velocities of planets at a given time …
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Improvisation of artificial hummingbird algorithm through incorporation of chaos theory in intelligent optimization of fractional order PID controller tuning

H Sarma, A Bardalai - International Journal of Information Technology, 2024 - Springer
Artificial hummingbird algorithm (AHA) is one of the recent bio-inspired meta-heuristic
algorithms which is based on hummingbirds' intelligent behaviours. Just like many meta …
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Sine cosine algorithm with peer learning for global numerical optimization

J Cheng, Q Lin, Y **ong - Engineering Optimization, 2024 - Taylor & Francis
The sine cosine algorithm (SCA) is a simple and effective optimization method. However, it
may exhibit stagnation behaviour in addressing complex optimization problems. Therefore …
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A parameter adaptive sine cosine algorithm for global optimization problems

J Cheng, P Song, Y **ong - Engineering Research Express, 2025 - iopscience.iop.org
Sine cosine algorithm (SCA) is a random search technique for global numerical
optimization. However, SCA still exhibits low efficiency for some complex problems. In this …
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