Artificial bee colony (ABC) algorithm is a swarm intelligence algorithm, which simulates the foraging behavior of honeybees. It has been successfully applied to many optimization problems in different areas. Since 2009, ABC algorithm has been employed for various problems in signal, image, and video processing fields. This paper presents the problems ABC algorithm has been applied in these fields and describes how ABC algorithm was used in the approaches for solving these kinds of problems
This chapter explores the use of the Artificial Bee Colony (ABC) algorithm to compute pixel classifi...
Swarm intelligence is a research field that models the collective intelligence in swarms of insects ...
The artificial bee colony (ABC) is one of the swarm intelligence algorithms used to solve optimizati...
ABC algorithm or also called Artificial Bee Colony Algorithm is one of the popular algorithms of usi...
Artificial Bee Colony (ABC) algorithm is one of the most recently introduced swarm-based algorithms....
The Artificial Bee Colony (ABC) algorithm is a stochastic, population-based evolutionary method prop...
Swarm intelligence (SI) is briefly defined as the collective behaviour of decentralized and self-org...
Artificial bee colony (ABC) algorithm is one of the most popular swarm intelligence based algorithms...
Classical methods often face great difficulties in solving image processing problems in images conta...
Evolutionary algorithm is a stochastic search method that mimics the natural biological evolution an...
Artificial Bee Colony (ABC) algorithm which is one of the most recently introduced optimization algo...
Artificial bee colony (ABC) algorithm is an optimization algorithm based on a particular intelligent...
This paper introduces a variant of Artificial Bee Colony algorithm and compares its results with a n...
Artificial Bee Colony (ABC) algorithm inspired by the complex search and foraging behaviors of real ...
Swarm intelligence is a research branch that models the population of interacting agents or swarms t...
This chapter explores the use of the Artificial Bee Colony (ABC) algorithm to compute pixel classifi...
Swarm intelligence is a research field that models the collective intelligence in swarms of insects ...
The artificial bee colony (ABC) is one of the swarm intelligence algorithms used to solve optimizati...
ABC algorithm or also called Artificial Bee Colony Algorithm is one of the popular algorithms of usi...
Artificial Bee Colony (ABC) algorithm is one of the most recently introduced swarm-based algorithms....
The Artificial Bee Colony (ABC) algorithm is a stochastic, population-based evolutionary method prop...
Swarm intelligence (SI) is briefly defined as the collective behaviour of decentralized and self-org...
Artificial bee colony (ABC) algorithm is one of the most popular swarm intelligence based algorithms...
Classical methods often face great difficulties in solving image processing problems in images conta...
Evolutionary algorithm is a stochastic search method that mimics the natural biological evolution an...
Artificial Bee Colony (ABC) algorithm which is one of the most recently introduced optimization algo...
Artificial bee colony (ABC) algorithm is an optimization algorithm based on a particular intelligent...
This paper introduces a variant of Artificial Bee Colony algorithm and compares its results with a n...
Artificial Bee Colony (ABC) algorithm inspired by the complex search and foraging behaviors of real ...
Swarm intelligence is a research branch that models the population of interacting agents or swarms t...
This chapter explores the use of the Artificial Bee Colony (ABC) algorithm to compute pixel classifi...
Swarm intelligence is a research field that models the collective intelligence in swarms of insects ...
The artificial bee colony (ABC) is one of the swarm intelligence algorithms used to solve optimizati...