A polygonal approximation method based on the new artificial bee colony (NABC) algorithm is proposed in this paper. In the present method, a solution is represented by a vector, and the objective function is defined as the integral square error between the given curve and its corresponding polygon. The search process, including the employed bee stage, the onlooker bee stage, and the scout bee stage, has been constructed for this specific problem. Most experiments show that the present method when compared with the DE-based method can obtain superior approximation results with less error norm with respect to the original curves
More recently, computer scientists have found in the study of social insect’s behavior a source of i...
Abstract — Artificial Bee Colony (ABC) algorithm is a swarm-based optimization algorithm with advant...
International audienceIn this paper, a polygonal approximation approach based on a multi-objective g...
Artificial bee colony (ABC) algorithm, explored in recent literature, is an efficient optimization t...
ABC algorithm or also called Artificial Bee Colony Algorithm is one of the popular algorithms of usi...
The Artificial Bee Colony(ABC) algorithm is one of the best applicableoptimization algorithm. In thi...
Artificial Bee Colony (ABC) algorithm is a wildly used optimization algorithm. However, ABC is excel...
Swarm intelligence is a research field that models the collective intelligence in swarms of insects ...
In shape analysis a crucial step consists in extracting meaningful features from digital curves. Dom...
Abstract — Artificial Bee Colony (ABC) algorithm is very interesting population based swarm optimiza...
Artificial Bee Colony (ABC) is a distinguished optimization strategy that can resolve nonlinear and ...
This paper introduces a variant of Artificial Bee Colony algorithm and compares its results with a n...
Artificial Bee Colony (ABC) algorithm is a well known swarm intelligence algorithms which have shown...
Abstract With the development of artificial intelligence, numerous researchers are attracted to stud...
The minimum vertex cover (MVC) problem is a well-known NP-hard prob- lem. This thesis presents the A...
More recently, computer scientists have found in the study of social insect’s behavior a source of i...
Abstract — Artificial Bee Colony (ABC) algorithm is a swarm-based optimization algorithm with advant...
International audienceIn this paper, a polygonal approximation approach based on a multi-objective g...
Artificial bee colony (ABC) algorithm, explored in recent literature, is an efficient optimization t...
ABC algorithm or also called Artificial Bee Colony Algorithm is one of the popular algorithms of usi...
The Artificial Bee Colony(ABC) algorithm is one of the best applicableoptimization algorithm. In thi...
Artificial Bee Colony (ABC) algorithm is a wildly used optimization algorithm. However, ABC is excel...
Swarm intelligence is a research field that models the collective intelligence in swarms of insects ...
In shape analysis a crucial step consists in extracting meaningful features from digital curves. Dom...
Abstract — Artificial Bee Colony (ABC) algorithm is very interesting population based swarm optimiza...
Artificial Bee Colony (ABC) is a distinguished optimization strategy that can resolve nonlinear and ...
This paper introduces a variant of Artificial Bee Colony algorithm and compares its results with a n...
Artificial Bee Colony (ABC) algorithm is a well known swarm intelligence algorithms which have shown...
Abstract With the development of artificial intelligence, numerous researchers are attracted to stud...
The minimum vertex cover (MVC) problem is a well-known NP-hard prob- lem. This thesis presents the A...
More recently, computer scientists have found in the study of social insect’s behavior a source of i...
Abstract — Artificial Bee Colony (ABC) algorithm is a swarm-based optimization algorithm with advant...
International audienceIn this paper, a polygonal approximation approach based on a multi-objective g...