Modern meta-heuristics based on nonlinear physics processes: A review of models and design procedures
S Salcedo-Sanz - Physics Reports, 2016 - Elsevier
Meta-heuristic algorithms are problem-solving methods which try to find good-enough
solutions to very hard optimization problems, at a reasonable computation time, where …
solutions to very hard optimization problems, at a reasonable computation time, where …
Recognition of COVID-19 disease from X-ray images by hybrid model consisting of 2D curvelet transform, chaotic salp swarm algorithm and deep learning technique
The novel coronavirus disease 2019 (COVID-19), detected in Wuhan City, Hubei Province,
China in late December 2019, is rapidly spreading and affecting all countries in the world …
China in late December 2019, is rapidly spreading and affecting all countries in the world …
A novel chaotic salp swarm algorithm for global optimization and feature selection
Abstract Salp Swarm Algorithm (SSA) is one of the most recently proposed algorithms driven
by the simulation behavior of salps. However, similar to most of the meta-heuristic …
by the simulation behavior of salps. However, similar to most of the meta-heuristic …
Optimal tuning of fractional order PID controller for DC motor speed control via chaotic atom search optimization algorithm
B Hekimoğlu - IEEE access, 2019 - ieeexplore.ieee.org
In this paper, atom search optimization (ASO) algorithm and a novel chaotic version of it
[chaotic ASO (ChASO)] are proposed to determine the optimal parameters of the fractional …
[chaotic ASO (ChASO)] are proposed to determine the optimal parameters of the fractional …
Recent advances in the analysis of behavioural organization and interpretation as indicators of animal welfare
While the incorporation of mathematical and engineering methods has greatly advanced in
other areas of the life sciences, they have been under-utilized in the field of animal welfare …
other areas of the life sciences, they have been under-utilized in the field of animal welfare …
Feature selection strategy based on hybrid crow search optimization algorithm integrated with chaos theory and fuzzy c-means algorithm for medical diagnosis …
Powerful knowledge acquisition tools and techniques have the ability to increase both the
quality and the quantity of knowledge-based systems for real-world problems. In this paper …
quality and the quantity of knowledge-based systems for real-world problems. In this paper …
Imperialist competitive algorithm combined with chaos for global optimization
A novel chaotic improved imperialist competitive algorithm (CICA) is presented for global
optimization. The ICA is a new meta-heuristic optimization developed based on a socio …
optimization. The ICA is a new meta-heuristic optimization developed based on a socio …
Chaos optimization algorithms based on chaotic maps with different probability distribution and search speed for global optimization
D Yang, Z Liu, J Zhou - … in Nonlinear Science and Numerical Simulation, 2014 - Elsevier
Chaos optimization algorithms (COAs) usually utilize the chaotic map like Logistic map to
generate the pseudo-random numbers mapped as the design variables for global …
generate the pseudo-random numbers mapped as the design variables for global …
Random hypersurface models for extended object tracking
M Baum, UD Hanebeck - 2009 IEEE International Symposium …, 2009 - ieeexplore.ieee.org
Target tracking algorithms usually assume that the received measurements stem from a
point source. However, in many scenarios this assumption is not feasible so that …
point source. However, in many scenarios this assumption is not feasible so that …
An improved scheme for digital mammogram classification using weighted chaotic salp swarm algorithm-based kernel extreme learning machine
Over the past years, the surge in the necessity for early detection and diagnosis of breast
cancer has resulted in many innovative research directions. According to the World Health …
cancer has resulted in many innovative research directions. According to the World Health …