A Hybrid Artificial Bee Colony with Differential Evolution

Abstract

Abstract-Artificial bee colony (ABC) is a relatively new stochastic algorithm with competitive performance and minimal tuning parameter. This paper proposes a hybrid ABC algorithm with differential evolution (DE), but without additional parameters. DE is a well-known efficient evolutionary algorithm with proven records but its parameter setting is complicated. This proposed hybrid algorithm called ABCDE incorporates the powerful mutation strategies of DE into ABC, in order to increase convergence while diversity is not compromised. The performance of ABCDE is evaluated against both original ABC and opposition-based DE (ODE), a recent DE variant with high performance. The experiment uses twelve widely accepted non-linear benchmark functions with various characteristics, such as difficult landscape, multimodality, shift and rotation, to evaluate the ABCDE's performance on many complex functions. The experimental results demonstrate a superior performance of ABCDE against original ABC and ODE.

An improved block matching algorithm for motion estimation in video sequences and application in robotics

“…Hybridization of DE-ABC was proposed previously [22]. We propose a customized version of hybrid ABC-DE algorithm to fit in the goal: "to minimize the number of SAD evaluations with an acceptable solution for BM".…”

Bandwidth enhancement of rectangular microstrip antenna with a rectangular slot by using a novel hybrid optimization method based on the ABC and DE algorithms

“…This problem can be overcome by improving hybrid optimization methods. A hybrid algorithm called ABCDE having the powerful mutation strategies of DE into ABC algorithm is presented by Worasucheep . Li et al presents a hybrid ABC assisted DE algorithm to overcome DE disadvantage of requiring large population size and strengthen the global search ability .…”

“…A hybrid algorithm called ABCDE having the powerful mutation strategies of DE into ABC algorithm is presented by Worasucheep. 17 Li et al presents a hybrid ABC assisted DE algorithm to overcome DE disadvantage of requiring large population size and strengthen the global search ability. 18 In another study, a new hybrid differential artificial bee colony was proposed to eliminate their disadvantages like poor convergence and computational time.…”