Advances in sine cosine algorithm: a comprehensive survey
L Abualigah, A Diabat - Artificial Intelligence Review, 2021 - Springer
Abstract The Sine Cosine Algorithm (SCA) is a population-based optimization algorithm
introduced by Mirjalili in 2016, motivated by the trigonometric sine and cosine functions …
introduced by Mirjalili in 2016, motivated by the trigonometric sine and cosine functions …
A multi-strategy enhanced sine cosine algorithm for global optimization and constrained practical engineering problems
Abstract The Sine Cosine Algorithm (SCA) has received much attention from engineering
and scientific fields since it was proposed. Nevertheless, when solving multimodal or …
and scientific fields since it was proposed. Nevertheless, when solving multimodal or …
Intelligent vision-based navigation system for mobile robot: A technological review
Vision system is gradually becoming more important. As computing technology advances, it
has been widely utilized in many industrial and service sectors. One of the critical …
has been widely utilized in many industrial and service sectors. One of the critical …
A hybridization of sine cosine algorithm with steady state genetic algorithm for engineering design problems
MA El-Shorbagy, MA Farag, AA Mousa… - … on Advanced Machine …, 2020 - Springer
Abstract Sine Cosine Algorithm (SCA), a newly proposed optimization approach, has gained
the interest of researchers to solve the optimization problems in different fields due to its …
the interest of researchers to solve the optimization problems in different fields due to its …
[HTML][HTML] A hybrid modified method of the sine cosine algorithm using Latin hypercube sampling with the cuckoo search algorithm for optimization problems
The metaheuristic algorithm is a popular research area for solving various optimization
problems. In this study, we proposed two approaches based on the Sine Cosine Algorithm …
problems. In this study, we proposed two approaches based on the Sine Cosine Algorithm …
[HTML][HTML] Elite and dynamic opposite learning enhanced sine cosine algorithm for application to plat-fin heat exchangers design problem
The heat exchanger has been widely used in the energy and chemical industry and plays an
irreplaceable role in the featured applications. The design of heat exchanger is a mixed …
irreplaceable role in the featured applications. The design of heat exchanger is a mixed …
Optimization and analysis of three-part tariff pricing strategies
SW Lin, S Merdikawati, SF Wu, RH Yeh - OR Spectrum, 2023 - Springer
Abstract Service providers usually offer different pricing schemes to consumers, which can
simultaneously influence consumers' tariff choices and their usage of the service and thus …
simultaneously influence consumers' tariff choices and their usage of the service and thus …
A classification model on tumor cancer disease based mutual information and firefly algorithm
SF Jabar - Periodicals of Engineering and Natural Sciences, 2019 - pen.ius.edu.ba
Cancer is a globally recognized cause of death. A proper cancer analysis demands the
classification of several types of tumor. Investigations into microarray gene expressions …
classification of several types of tumor. Investigations into microarray gene expressions …
Steady-state sine cosine genetic algorithm based chaotic search for nonlinear programming and engineering applications
AA Mousa, MA El-Shorbagy, MA Farag - IEEE Access, 2020 - ieeexplore.ieee.org
This paper proposes a newly meta-heuristic approach, steady-state sine cosine genetic
algorithm-based chaotic search, for solving nonlinear programming and engineering …
algorithm-based chaotic search, for solving nonlinear programming and engineering …
On the bridge between exterior and interior penalty method
AK Salman, AS Al-Jilawi - Journal of Physics: Conference Series, 2021 - iopscience.iop.org
In this paper, we present methods of penalty functions for solving constrained optimization
problems. The methods that we characterize presently, attempt to approximate a constrained …
problems. The methods that we characterize presently, attempt to approximate a constrained …