WSN consists of a large number of tiny sensor nodes distributed over a large area with one or more powerful sinks or base stations collecting information from these sensor nodes. The sensor nodes are equipped with battery and whose battery cannot be replaced after deployment. Therefore, deployment of sensor nodes has serious impact on network lifetime. Deployment can be random or pre-determined...

limited water resources, especially in iran, require most effective method of water use to avoid losses. one of the important parameters in irrigation is water distribution uniformity coefficient (cu) in sprinkler irrigation. cu in every irrigation depends on pressure heads (p), riser height (rh), distance between sprinklers on lateral pipes (sl), and the distance between lateral pipes (sm). th...

ABC (Artificial Bee Colony) algorithm is one of the most popular approaches that is used in optimization problems. ABC overcomes other well-known heuristic methods, such as GA, PSO and DE (Differential Evolution). In this paper, we propose a hybrid ABC-DE algorithm that combines properties of ABC and DE approaches. The results show that our proposed algorithm is better than both ABC and DE and ...

This paper describes the application of Evolutionary Algorithms (EAs) to the optimisation of a simplified supply chain in an integrated production-inventory-distribution system. The performance of four EAs (Genetic Algorithm (GA), Evolutionary Programming (EP), Evolution Strategies (ES) and Differential Evolution (DE)) was evaluated with numerical sumulations. Results were also compared with ot...

This chapter presents a general framework of Differential Evolution algorithm for combinatorial optimization problems. We define the differences between a given pair of solutions in the differential mutation as a set of elementary movements in the discrete search space. In this way, the search mechanism and self-adaptive behavior of the differential evolution is preserved and generalized to com...

In this paper, design of an aperture-coupled microstrip antenna (ACMSA) using differential evolution algorithm (DE) is described. The classical transmission line model for microstrip antenna is used to determine fitness function for DE and computed results are compared with the results obtained using particle swarm optimization (PSO) and binary coded genetic

Block matching algorithm for motion estimation with the concept of two optimization techniques Particle Swarm Optimization (PSO) and Differential Evolution (DE) are carried out. Motion Estimation results shows that the DE algorithm for motion estimation gives improved PSNR value when compared with PSO algorithm.

In recent years, many partitional clustering algorithms based on genetic algorithms (GA) have been proposed to tackle the problem of finding the optimal partition of a data set. Surprisingly, very few studies considered alternative stochastic search heuristics other than GAs or simulated annealing. Two promising algorithms for numerical optimization, which are hardly known outside the heuristic...

In Dynamic Economic Load Dispatch (DELD), optimization and evolution computation become a major part with the strategy for solving the issues. From various algorithms Differential Evolution (DE) and Particle Swarm Optimization (PSO) algorithms are used to encode in a vector form and in sharing information and both approaches are based on the master-apprentice mechanism for the Dual Evolution St...

Abstract— Improving the transient performance of the MRAC has been a point of research for a long time. The main objective of the paper is to design an MRAC with improved transient and steady state performance. This paper proposes a Fuzzy modified MRAC (FMRAC) to control a coupled tank level process. The FMRAC uses a proportional control based Mamdani-type Fuzzy inference system (MFIS) to impro...