Cat swarm optimization algorithm: a survey and performance evaluation
This paper presents an in‐depth survey and performance evaluation of cat swarm
optimization (CSO) algorithm. CSO is a robust and powerful metaheuristic swarm‐based …
optimization (CSO) algorithm. CSO is a robust and powerful metaheuristic swarm‐based …
A survey of the state-of-the-art of optimisation methodologies in school timetabling problems
Educational timetabling is an ongoing challenging administrative task that is required in
most academic institutions. This is mainly due to a large number of constraints and …
most academic institutions. This is mainly due to a large number of constraints and …
Hybridizing sine cosine algorithm with differential evolution for global optimization and object tracking
H Nenavath, RK Jatoth - Applied Soft Computing, 2018 - Elsevier
A new optimization algorithm called Hybrid Sine-Cosine Algorithm with Differential Evolution
algorithm (Hybrid SCA-DE) is proposed in this paper for solving optimization problems and …
algorithm (Hybrid SCA-DE) is proposed in this paper for solving optimization problems and …
A synergy of the sine-cosine algorithm and particle swarm optimizer for improved global optimization and object tracking
Due to its simplicity and efficiency, a recently proposed optimization algorithm, Sine Cosine
Algorithm (SCA), has gained the interest of researchers from various fields for solving …
Algorithm (SCA), has gained the interest of researchers from various fields for solving …
MPBOA-A novel hybrid butterfly optimization algorithm with symbiosis organisms search for global optimization and image segmentation
Abstract The conventional Butterfly Optimization Algorithm (BOA) does not appropriately
balance the exploration and exploitation characteristics of an algorithm to solve present-day …
balance the exploration and exploitation characteristics of an algorithm to solve present-day …
Hybridization of grasshopper optimization algorithm with genetic algorithm for solving system of non-linear equations
MA El-Shorbagy, AM El-Refaey - IEEE Access, 2020 - ieeexplore.ieee.org
A novel algorithm for optimization in this article, called hybrid grasshopper optimization
algorithm (GOA) with genetic algorithm (GA): hybrid-GOA-GA, is proposed for solving the …
algorithm (GOA) with genetic algorithm (GA): hybrid-GOA-GA, is proposed for solving the …
[HTML][HTML] New robust hybrid Jarratt-Butterfly optimization algorithm for nonlinear models
The nonlinear system of equations (NSE) is the basis of many engineering and scientific
models. However, these models must have accurate solutions to be successful. Several …
models. However, these models must have accurate solutions to be successful. Several …
Cat swarm optimization based evolutionary framework for multi document summarization
R Rautray, RC Balabantaray - Physica a: statistical mechanics and its …, 2017 - Elsevier
Abstract Today, World Wide Web has brought us enormous quantity of on-line information.
As a result, extracting relevant information from massive data has become a challenging …
As a result, extracting relevant information from massive data has become a challenging …
Optimizing the low-carbon flexible job shop scheduling problem considering energy consumption
T Jiang, G Deng - IEEE Access, 2018 - ieeexplore.ieee.org
Flexible job shop scheduling problem (FJSP) is a typical discrete combinatorial optimization
problem, which can be viewed as an extended version of the classical job shop scheduling …
problem, which can be viewed as an extended version of the classical job shop scheduling …
A hybrid approach for solving systems of nonlinear equations using harris hawks optimization and newton's method
Systems of nonlinear equations are known as the basis for many models of engineering and
data science, and their accurate solutions are very critical in achieving progress in these …
data science, and their accurate solutions are very critical in achieving progress in these …