In digital image processing, image segmentation is the most important task. This paper provides an faithful image segmentation algorithm with biologically inspired technique Bacterial Foraging Optimization (BFO) for different images with different size.. The methodology of this paper is to separate R G and B planes of input image and then Revised Bacterial Foraging Optimization Algorithm (RBFOA...

in this paper, a combinational optimization algorithm is introduced to obtain the best size and location of static compensator (statcom) in power systems. its main contribution is considering contingency analysis where lines outages may lead to infeasible solutions especially at peak loads and it commonly can be vanished by load-shedding. the objective of the proposed algorithm is firstly to pr...

While interspecific differences in foraging behaviour have attracted much attention, less is known about how foraging behaviour differs between populations of the same species. Here we compared the foraging strategy of a pantropical seabird, the red-footed booby Sula sula, in 5 populations breeding in contrasted environmental conditions. The foraging strategy strongly differed between sites, fr...

The Bacterial Foraging Algorithm (BFOA) is a well-known swarm collective intelligence algorithm used to solve variety of constraint optimization problems with wide success. Despite its universality, implementing the BFOA may be complex due calibration multiple parameters. Moreover, Two-Swim Modified Optimization (TS-MBFOA) state-of-the-art modification which lead solutions close optimal but mor...

Many dynamical networks, such as the ones that produce the collective behavior of social insects, operate without any central control, instead arising from local interactions among individuals. A well-studied example is the formation of recruitment trails in ant colonies, but many ant species do not use pheromone trails. We present a model of the regulation of foraging by harvester ant (Pogonom...

Bacterial Foraging Optimization (BFO) is optimization technique proposed by K. M. Passino in 2002 To tackle complex search problems of the real world, scientists have been drawing inspiration from nature and natural creatures for years. Bacterial Foraging Optimization is a burgeoning nature inspired technique to find the optimal solution of the problem. A Color images Quantization is necessary ...