Character recognition is an important task in pattern analysis that aims to give significance to handwritten data without users’ intervention. Although, an intensive research has been devoted to this problem, it remains a challenging task as humans need to interact with computer in the easiest way. This work attempts to incorporate some meta-heuristics as guidelines searching for the best solut...

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...

This paper presents an intelligent approach to identify parameters of single-phase induction motors. Because of the complication of space-phasor equations describing its dynamic behaviors, the parameters of single-phase induction motors could be roughly estimated via conventional tests based on the steady-state analysis. Therefore, they may cause inaccurate estimation. In this paper, some effic...

The great majority of biological sequences share significant similarity with other sequences as a result of evolutionary processes, and identifying these sequence similarities is one of the most challenging problems in bioinformatics. In this paper, we present a discrete artificial bee colony (ABC) algorithm, which is inspired by the intelligent foraging behavior of real honey bees, for the det...

Microbial strains can be manipulated to improve product yield and improve growth characteristics. Optimization algorithms are developed to identify the effects of gene knockout on the results. However, this process is often faced the problem of being trapped in local minima and slow convergence due to repetitive iterations of algorithm. In this paper, we proposed Bees Hill Flux Balance Analysis...

A novel Cooperative Bee Swarm Optimization (CBSO) algorithm based on foraging behaviour of honey bees is presented. The CBSO employs cooperative behaviours of multiple swarms in optimizing numerical functions. The proposed approach provides different patterns which are used by the bees to adjust their flying trajectories. The flying patterns provide an efficient way to balance exploration and e...

The Traveling Salesman Problem (TSP) is an NP-hard problem that has been used as a significant testing ground for many algorithms. It is also a problem that appears in many real industrial problems. This paper describes a Bee Colony Optimization (BCO) algorithm with a fragmentation state transition rule (FSTR) for TSP. The FSTR in the BCO algorithm helps bees to produce a tour by combining a fe...

rotating machinery is the most common machinery in industry. the root of the faults in rotating machinery is often faulty rolling element bearings. this paper presents a technique using optimized artificial neural network by the bees algorithm for automated diagnosis of localized faults in rolling element bearings. the inputs of this technique are a number of features (maximum likelihood estima...