Jun 6, 2013 · This paper focuses on introducing IBCA and its performance in designing FIR digital filter and IIR digital filter. After presenting the basic ...
An improved bee colony algorithm IBCA is proposed, which is a global stochastic searching optimisation algorithm possessing properties of both cultural ...
An improved bee colony algorithm (IBCA) is proposed, which is a global stochastic searching optimisation algorithm possessing properties of both cultural ...
Abstract: An improved bee colony algorithm (IBCA) is proposed, which is a global stochastic searching optimisation algorithm possessing properties of both ...
This paper focuses on introducing IBCA and its performance in designing FIR digital filter and IIR digital filter. After presenting the basic knowledge about ...
A novel approach based on artificial bee colony algorithm is described and applied to the design of adaptive IIR filters and its performance is compared to ...
Oct 10, 2014 · In this paper a novel hybrid variant of a swarm-based metaheuristics called Artificial Bee Colony (ABC) algorithm is proposed and shall be ...
People also ask
What is the bee colony algorithm?
Artificial bee colony (ABC) algorithm is an optimization technique that simulates the foraging behavior of honey bees, and has been successfully applied to various practical problems. ABC belongs to the group of swarm intelligence algorithms and was proposed by Karaboga in 2005.
What are the advantages of artificial bee colony algorithm?
The main advantages of the ABC algorithm over other optimization methods for solving optimization are simplicity, high flexibility, strong robustness [20, 21], few control parameters [22], ease of combination with other methods [21], ability to handle the objective with stochastic nature [23], fast convergence, and ...
What is the multi objective bee colony algorithm?
The MOABC is designed based on the foraging behaviour of honey bees. In this colony, there are three types of bees: Employed, Onlooker and Scout bees. This algorithm assumes a number of food sources and works through optimizing them.
What is an artificial bee colony ABC algorithm for numeric function optimization?
In ABC, a colony of artificial forager bees (agents) search for rich artificial food sources (good solutions for a given problem). To apply ABC, the considered optimization problem is first converted to the problem of finding the best parameter vector which minimizes an objective function.
Jan 1, 2019 · The artificial bee colony (ABC) algorithm is a swarm-based search meta-heuristic algorithm inspired by the foraging behaviors of honey bee colonies.
Missing: knowledge strategy
Oct 1, 2022 · The improved ABC algorithm can balance the conflict between local search ability and global search ability, so it can achieve better ...
This paper evaluates EABC on a larger number of benchmark functions, including both unimodal and multimodal functions. EABC is an improved variant of the ...