The Artificial Bee Colony (ABC) is an algorithm designed to solve continuous problems. ABC has been proven be more effective than other biological-inspired algorithms. However, it needed modify its functionality in order a discrete problem. In this work, natural modification the original made make able Six neighborhood operators are proposed simulate behavior of ABC. Moreover, several Traveling...

In this paper, we present a new Artificial Bee Colony algorithm to solve the non-unicost Set Covering Problem. The Artificial Bee Colony algorithm is a recent metaheuristic technique based on the intelligent foraging behavior of honey bee swarm. Computational results show that Artificial Bee Colony algorithm is competitive in terms of solution quality with other metaheuristic approaches for the...

This paper presents a new method which applies an artificial bee colony algorithm (ABC) for capacitor placement in distribution systems with an objective of improving the voltage profile and reduction of power loss. The ABC algorithm is a new population based meta heuristic approach inspired by intelligent foraging behavior of honeybee swarm. The advantage of ABC algorithm is that it does not r...

Network reconfiguration in distribution system is realized by changing the status of sectionalizing switches to reduce the power loss in the system. This paper presents a new method which applies an artificial bee colony algorithm (ABC) for determining the sectionalizing switch to be operated in order to solve the distribution system loss minimization problem. The ABC algorithm is a new populat...

Agricultural machinery rental is a new service form that uses big data in agriculture to improve the utilization rate of agricultural and promote development economy. To realize scheduling optimization cloud services, dynamic artificial bee-ant colony algorithm (DABAA) proposed solve above problem. First, practicability mathematical model production, coefficient proposed. Then mutation operatio...

Wireless Sensor Networks plays a gargantuan role in instrumenting the modern day world; hence it is crucial to develop an optimal design flow. Out of the various Swarm intelligent algorithms developed so far, Artificial Bee Colony (ABC) algorithm offers a vivid scope for this objective. First introduced for solving numerical optimization problems, ABC has now spread across almost every phase of...

Artificial Bee Colony (ABC) optimization algorithm is relatively a simple and recent population based probabilistic approach for global optimization. ABC has been outperformed over some Nature Inspired Algorithms (NIAs) when tested over test problems as well as real world optimization problems. This paper presents an attempt to modify ABC to make it less susceptible to stick at local optima and...

for Graph 3-Coloring Iztok Fister Jr.,∗ Iztok Fister,† and Janez Brest‡ Abstract The Artificial Bee Colony (ABC) is the name of an optimization algorithm that was inspired by the intelligent behavior of a honey bee swarm. It is widely recognized as a quick, reliable, and efficient methods for solving optimization problems. This paper proposes a hybrid ABC (HABC) algorithm for graph 3-coloring, ...

Assembly line balancing is significant for efficient and cost effective production of the products and is therefore gaining popularity in recent years. However, several uncertain events in assembly lines might causes variation in the task time and due to these variations there always remains a possibility that completion time of tasks might exceed the predefined cycle time. To hedge against thi...

To date, the topic of unrelated parallel machine scheduling problems with machine-dependent and job sequence-dependent setup times has received relatively little research attention. In this study, a hybrid artificial bee colony (HABC) algorithm is presented to solve this problem with the objective of minimizing the makespan. The performance of the proposed HABC algorithmwas evaluated by compari...