Swam intelligence is an emerging field in Artificial Intelligence. The living nature and life style of animals, birds and other living organisms can be inherited and applied to solve many real world problems. ABC is a recently developed swam intelligence algorithm developed by Dervis Karaboga in the year 2005.In ABC, foraging is one of the behavior of honey bees to search, collect food from its...

The natural behaviour of the honeybee has attracted the attention of researchers in recent years and several algorithms have been developed that mimic swarm behaviour to solve optimisation problems. This paper introduces an artificial bee colony (ABC) algorithm for the vehicle routing problem with time windows (VRPTW). A Modified ABC algorithm is proposed to improve the solution quality of the ...

This study was conducted to detect binary trait loci (BTLs) that inßuence guarding behavior of individual honey bees, Apis mellifera L., and to locate genetic markers that are associated with these BTLs on genetic maps derived from guard bees from two reciprocal backcross colonies. Samples of guards and control bees were taken from two backcross colonies derived from a defensive colonyandagentl...

Lasioglossum zephyrum usually lives in small colonies but is facultatively solitary. Lone bees and colonies produced from female pupae of the same generation were established in artificial indoor nests. Both the length of the prereproductive period and the number of cells produced per bee per day decreased with increasing colony size. In most colonies, ovarially and behaviorally recognized cast...

This paper presents a novel discrete artificial bee colony (DABC) algorithm for solving the multi-objective flexible job shop scheduling problem with maintenance activities. Performance criteria considered are the maximum completion time so called makespan, the total workload of machines and the workload of the critical machine. Unlike the original ABC algorithm, the proposed DABC algorithm pre...

Search-based optimization techniques (e.g., hill climbing, simulated annealing, and genetic algorithms) have been applied to a wide variety of software engineering activities including cost estimation, next release problem, and test generation. Several search based test generation techniques have been developed. These techniques had focused on finding suites of test data to satisfy a number of ...

Intrusion Detection System has been studied for more than ten years. Though Artificial Intelligence (AI) techniques have been integrated to improve IDS but the success is still far from satisfaction. Thus, we believe a new strategy to improve IDS is badly needed. One of the solutions is by imitating the honeybee colony that can successfully protect their colony. In fact, the honeybee colony sys...

Multiple stress factors in honey bees are causing loss of bee colonies worldwide. Several infectious agents of bees are believed to contribute to this problem. The mechanisms of honey bee immunity are not completely understood, in part due to limited information about the types and abundances of hemocytes that help bees resist disease. Our study utilized flow cytometry and microscopy to examine...

Early studies indicate that Apis mellifera bees learn nectar odours within their colonies. This form of olfactory learning, however, has not been analysed by measuring well-quantifiable learning performances and the question remains whether it constitutes a 'robust' form of learning. Hence, we asked whether bees acquire long-term olfactory memories within the colony. To this end, we used the be...

Honey bee colony loss continues to be an issue and no factor has been singled out as to the cause. In this study, we sought to determine whether two beekeeper-applied pesticide products, tau-fluvalinate and Fumagilin-B(®), and one agrochemical, chlorothalonil, impact the nutrient levels in honey bee workers in a natural colony environment. Treatments were performed in-hive and at three differen...