In order to resolve the multi-parameter optimization problem of finite impulse response (FIR) digital filter design, a quantum bee colony algorithm (QBCA) is proposed. The proposed QBCA is a multi-dimensional search algorithm for optimization of real numbers, and uses mechanisms of quantum evolution to update the positions of different quantum bees. Computer simulations have showed that FIR dig...

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...

Swarm intelligence is a research branch that models the population of interacting agents or swarms that are able to self-organize. An ant colony, a flock of birds or an immune system is a typical example of a swarm system. Bees’ swarming around their hive is another example of swarm intelligence. The Artificial Bee Colony algorithm is an optimization algorithm based on the intelligent behavior ...

An information retrieval system highly relies on document analysis/ retrieval system. It includes numerous processing stages such as feature extraction, semantic representation, dimensionality reduction and similarity measure. Semantic representation aids for providing a better description to the documents. However, the probability of getting increased dimension for semantic descriptors is high...

The commercial production of bumble bee colonies is a multi-million dollar business worldwide. The pollination of greenhouse tomatoes is largely dependent on this industry. However, microparasites are prevalent in many of these colonies and can spread to wild populations of bumble bees. Academic researchers now commonly purchase colonies for their work. I believe that this raises some questions...

The paper presents a new algorithm for circuit partitioning that exploits some of the latest innovations of evolutionary approaches. The proposed algorithm based on swarm intelligence technique hybrids discrete version of artificial bee colony algorithm with Inver over operator along with simulated annealing technique for local improvement of solution. The algorithm is tested on small UCLA inst...

By integrating artificial bee colony and genetic algorithm, a novel hybrid swarm intelligent approach is proposed in this paper. The main idea of the approach is to obtain the parallel computation merit of GA and the speed and self-improvement merits of ABC by sharing information between GA population and bee colony. To exam the proposed method, it is applied to 4 benchmark functions for differ...

Artificial bee colony (ABC) algorithm is a swarm intelligence optimization algorithm inspired by the intelligent behavior of honey bees when searching for food sources. The various versions of the ABC algorithm have been widely used to solve continuous and discrete optimization problems in different fields. In this paper a new binary version of the ABC algorithm inspired by quantum computing, c...

In previous study, technique to estim by using a lunar image is proposed. We consider t the conventional method in consideration of FPGA this paper. Specifically, we introduce Artificial Be for reduction of search time. In addition, we use fix to enable high-speed operation on FPGA. Keywords—SLIM, Artificial Bee Colony A Estimate.