This research paper adapts intelligent water drops (IWD) algorithm to solve the discrete timecost-quality trade-off problem (DTCQTP) in software projects which is never solved before by this algorithm. Project manager's goal is getting an optimal allocation of time, cost and quality of each task/activity in the software project such that total time and cost of the project is minimized while pro...

A comparison between two technologies „Swarm Intelligence‟ and „Intelligent Water drops‟ inorder to overcome the disadvantages of various technologies is an integral concern of this paper . It is nature inspired. IWD algorithm is used to calculate the solutions of the n-queen puzzle with a simple local heuristic. Water of the ocean river easily finds best way from the number of various ways ava...

In this paper, Intelligent water drop algorithm (IWD) is used to analyze single overhead line connected to grid-grounded arrester. In this approach, at first Norton’s equivalent circuit of the overhead line over lossy soil is computed by method of moments (MoM) and then for the problem under consideration, a nonlinear equivalent circuit in the frequency domain is proposed. Finally applying inte...

The Set Covering Problem is a classic combinatorial problem which is looking for solutions to cover needs on a geographic area. In this paper, we applied new ideas to solve The Set Covering Problem. Intelligent Water Drop is a nature inspired algorithm based on water drops behavior on natural river systems and the events that change the nature of water drop and the river environment. It observe...

The Intelligent Water Drop (IWD) algorithm is a recent stochastic swarm-based method that is useful for solving combinatorial and function optimization problems. In this paper, we investigate the effectiveness of the selection method in the solution construction phase of the IWD algorithm. Instead of the fitness proportionate selection method in the original IWD algorithm, two ranking-based sel...

Scheduling has become a popular area for artificial intelligence and expert system researchers during last decade. In this paper, a new metaheuristic algorithm entitled intelligent water drops (IWD) is adapted for solving a generalized kind of order scheduling problem where rejection of received orders is allowed with a penalty cost. At the beginning of production period, a set of orders are re...

--Security of the wireless sensor network is emerged as a crucial issue due its resource-constrained nature. Number of localization techniques suffers from security threats when there are compromised beacon nodes in the network. This paper presents a technique for detection and revocation of compromised beacon nodes using the concept of Intelligent Water Drop algorithm. The results are very pro...

Purpose – The purpose of this paper is to test the capability of a new population-based optimization algorithm for solving an NP-hard problem, called “Multiple Knapsack Problem”, or MKP. Design/methodology/approach – Here, the intelligent water drops (IWD) algorithm, which is a population-based optimization algorithm, is modified to include a suitable local heuristic for the MKP. Then, the prop...

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