Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Performance assessment of the metaheuristic optimization algorithms: an exhaustive review
The simulation-driven metaheuristic algorithms have been successful in solving numerous
problems compared to their deterministic counterparts. Despite this advantage, the …
problems compared to their deterministic counterparts. Despite this advantage, the …
The coral reefs optimization algorithm: a novel metaheuristic for efficiently solving optimization problems
This paper presents a novel bioinspired algorithm to tackle complex optimization problems:
the coral reefs optimization (CRO) algorithm. The CRO algorithm artificially simulates a coral …
the coral reefs optimization (CRO) algorithm. The CRO algorithm artificially simulates a coral …
An Efficiency Boost for Genetic Algorithms: Initializing the GA with the Iterative Approximate Method for Optimizing the Traveling Salesman Problem—Experimental …
The genetic algorithm (GA) is a well-known metaheuristic approach for dealing with complex
problems with a wide search space. In genetic algorithms (GAs), the quality of individuals in …
problems with a wide search space. In genetic algorithms (GAs), the quality of individuals in …
Solving TSP by using combinatorial Bees algorithm with nearest neighbor method
Bees Algorithm (BA) is a popular meta-heuristic method that has been used in many
different optimization areas for years. In this study, a new version of combinatorial BA is …
different optimization areas for years. In this study, a new version of combinatorial BA is …
Golden ball: a novel meta-heuristic to solve combinatorial optimization problems based on soccer concepts
In this paper, a new multiple population based meta-heuristic to solve combinatorial
optimization problems is introduced. This meta-heuristic is called Golden Ball (GB), and it is …
optimization problems is introduced. This meta-heuristic is called Golden Ball (GB), and it is …
An improved genetic algorithm with a new initialization mechanism based on regression techniques
Genetic algorithm (GA) is one of the well-known techniques from the area of evolutionary
computation that plays a significant role in obtaining meaningful solutions to complex …
computation that plays a significant role in obtaining meaningful solutions to complex …
Performance analyses over population seeding techniques of the permutation-coded genetic algorithm: An empirical study based on traveling salesman problems
The genetic algorithm (GA) is a population based meta-heuristic global optimization
technique for dealing with complex problems with very large search space. The population …
technique for dealing with complex problems with very large search space. The population …
Adaptive experience engine for serious games
Designing games that support knowledge and skill acquisition has become a promising
frontier of education techniques, since games are able to capture the user concentration for …
frontier of education techniques, since games are able to capture the user concentration for …
Bee colony optimization with local search for traveling salesman problem
Many real world industrial applications involve the Traveling Salesman Problem (TSP),
which is a problem that finds a Hamiltonian path with minimum cost. Examples of problems …
which is a problem that finds a Hamiltonian path with minimum cost. Examples of problems …
A new population seeding technique for permutation-coded Genetic Algorithm: Service transfer approach
Genetic Algorithm (GA) is a popular heuristic method for dealing complex problems with very
large search space. Among various phases of GA, the initial phase of population seeding …
large search space. Among various phases of GA, the initial phase of population seeding …