In recent years, significant research efforts have been devoted to the optimal planning of power systems. Substation Expansion Planning (SEP) as a sub-system of power system planning consists of finding the most economical solution with the optimal location and size of future substations and/or feeders to meet the future demand. The large number of design variables, and combination of discrete ...

Efficient operation plays a vital role to develop sustainable shipping fleet with cost competitive. The requirements for economic efficiency, energy reducing emissions, and increasing safety security lead an innovative model in the optimal weather routing system. vessel is influenced by quality of meteorological oceanographic data such as wind, waves, currents. In this study, optimization consi...

This paper suggests novel hybrid optimization system (BF-CL) based on the bacterial foraging and clonal selection of immune system. A foraging strategy involves finding a patch of optimal condition (e.g., group of objective with conditions), deciding whether to enter it and search for optimal conditions, and when to leave the patch. There are predators and risks, energy required for optimizatio...

Honey bee colonies depend on pollen and nectar from flowers for their feed. The act of searching this by the bees is called foraging. foraging behaviour depends profitability sources as well needs colony. This modeled into an algorithm Foraging Bee Optimization Algorithm (FBA). After initialization, loops through three phases based bees’ nature 3W: Waggle, Work, Withdraw. A large number are ini...

This Chapter summarizes some of the well known stigmergic computational techniques inspired by nature, mainly for optimization problems developed by mimicking social insects’ behavior. Some facts about social insects namely ants, bees and termites are presented with an emphasis on how they could interact and self organize for solving real world problems. We focused on ant colony optimization al...

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...

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...

This paper presents an algorithm for solving the multi-objective reactive power dispatch problem in a power system. Modal analysis of the system is used for static voltage stability assessment. Loss minimization and maximization of voltage stability margin are taken as the objectives. Generator terminal voltages, reactive power generation of the capacitor banks and tap changing transformer sett...

Grid computing could be a style of distributed computing that co-ordinates and provides the ability of resource sharing over varied geographical locations. Resource planning in Grid computing is an advanced task owing to the heterogeneous and dynamic nature of the resources. Bacterial foraging has recently emerged as a world optimization algorithmic program for distributed optimization and mana...

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...