Alligator weed Alternanthera philoxeroides (Mart.) Griseb (Amaranthaceae) is being reported for the first time from Kashmir, India. Alternanthera philoxeroides was collected in 2008 during the vegetation survey of Wular Lake, a wetland of international importance under Ramsar convention. Alternanthera philoxeroides is a noxious invasive weed widespread throughout the world. We suggested that al...

This paper presents the application of enhanced opposition-based firefly algorithm in obtaining the optimal battery energy storage systems (BESS) sizing in photovoltaic generation integrated radial distribution network in order to mitigate the voltage rise problem. Initially, the performance of the original firefly algorithm is enhanced by utilizing the opposition-based learning and introducing...

In this paper, the performances of the Artificial Bee Colony (ABC) Algorithm and Invasive Weed Optimization (IWO) Algorithm are compared on the basis of modified versions of five well known benchmark functions. The modifications are performed on these functions in order to get rid of the symmetrical properties of the selected functions. Further a solution space is shifted so that the optimal fu...

Nature inspired algorithms for their powerfulness, acquire a unique place among the algorithms for optimization. This paper intends to provide a comparison of firefly algorithm (FA) with 3 other nature inspired algorithms; genetic algorithms (GA), particle swarm optimization algorithm (PSO) and ant colony systems (ACS). Traveling salesman problem (TSP) has been used as the problem to be solved ...

The bio-inspired optimization techniques have obtained great attention in recent years due to its robustness, simplicity and efficiency to solve complex optimization problems. The firefly Optimization (FA or FFA) algorithm is an optimization method with these features. The algorithm is inspired by the flashing behavior of fireflies. In the algorithm, randomly generated solutions will be conside...

Today, in computer science, a computational challenge exists in finding a globally optimized solution from an enormously large search space. Various meta-heuristic methods can be used for finding the solution in a large search space. These methods can be explained as iterative search processes that efficiently perform the exploration and exploitation in the solution space. In this context, thre...

In software project management there are several problems to deal, one of those is the Software Project Scheduling Problem (SPSP). This problem requires to assign a set of resources to tasks for a given project, trying to decrease the duration and cost of the whole project. The workers and their skills are the main resources in the project. In this paper we present the SPSP as a combinatorial o...