Ant algorithm is a novel meta-heuristic optimization algorithm, but at the same time there are some disadvantages. This paper proposed an ant colony algorithm with route evaluation based on the basic ant colony algorithm. After all ant complete the route search once, the current search situation can be evaluated according to an improved formula of standard deviation, then to decide to update gl...

Artificial bee colony algorithms belong to the paradigm of bio-inspired, population-based, algorithms that have been widely used to solve optimization problems. These algorithms use population of individuals/particles/bees/ants in order to explore a search space of potential solutions to a given problem and to be able to quickly converge to a global solution, or at least to a good solution. The...

This paper describes a population-based approach that uses a honey bees foraging model to solve job shop scheduling problems. The algorithm applies an efficient neighborhood structure to search for feasible solutions and iteratively improve on prior solutions. The initial solutions are generated using a set of priority dispatching rules. Experimental results comparing the proposed honey bee col...

Clones of mouse myeloid leukemic cells that differ in their competence to be induced for normal cell differentiation by the protein inducer MGI produce type C virus. These viruses have been studied for their effect on the viability, multiplication, and differentiation of normal bone marrow cells either with or without the addition of MGI. Virus from leukemic clones that can differentiate normal...

In allusion to the deficiencies of the ant colony optimization algorithm for solving the complex problem, the genetic algorithm is introduced into the ant colony optimization algorithm in order to propose a novel hybrid optimization (NHGACO) algorithm in this paper. In the NHGACO algorithm, the genetic algorithm is used to update the global optimal solution and the ant colony optimization algor...

We sampled 7,511 black-headed gulls for influenza virus in the Netherlands during 2006-2010 and found that subtypes H13 and H16 caused annual epidemics in fledglings on colony sites. Our findings validate targeted surveillance of wild waterbirds and clarify underlying factors for influenza virus emergence in other species.

The ant colony optimization (ACO) algorithm is a new heuristic algorithm that offers good robustness and searching ability. With in-depth exploration, the ACO algorithm exhibits slow convergence speed, and yields local optimization solutions. Based on analysis of the ACO algorithm and the genetic algorithm, we propose a novel hybrid genetic ant colony optimization (NHGAO) algorithm that integra...

A line of chick embryo cells (CEC) was obtained from CEC treated with N-methyl-N'-nitro-N-nitrosoguanidine (MNNG). The cells, designated CHCC-OU2, were contact-inhibited, formed no colony in soft agar and did not produce tumors when inoculated into syngeneic chickens. The electron microscopic examination and reverse transcriptase assay showed no virus production from the cells. Subgroup A avian...

Data with categorical attributes are ubiquitous in the real world. However, existing partitional clustering algorithms for categorical data are prone to fall into local optima. To address this issue, in this paper we propose a novel clustering algorithm, ABC-K-Modes (Artificial Bee Colony clustering based on K-Modes), based on the traditional k-modes clustering algorithm and the artificial bee ...

Submit Manuscript | http://medcraveonline.com Abbreviations: ADCC: Antibody Dependent Cell Mediated Cytotoxicity; CDC: Complement Dependent Cytotoxicity; CTL: Cytotoxic T lymphocyte; DC: Dendritic Cell; GM-CSF: GranulocyteMacrophage Colony Stimulating Factor; HPV: Human Papilloma Virus; HBV: Hepatitis B Virus; IL-2: Interleukin 2; IL-12: Interleukin 12; IFN: Interferon; MHC: Major Histocompatib...