The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In this paper, we propose a new Bi-Population QUasi-Affine TRansformation Evolution (BP-QUATRE) algorithm for global optimization. The proposed BP-QUATRE algorithm divides the population into two subpopulations with sort strategy, and each subpopulation adopts a different mutation strategy to keep the balance between the fast convergence and population diversity. What is more, the proposed BP-QUATRE...
In Wireless Sensor Network, the localization of sensor nodes is an important problem in many applications. Normally in localization problem, the unknown position nodes will be determined their location through information of three or more anchors. In first part, some popular heuristic optimization methods like Genetic Algorithm (GA), Particle Swarm Optimization (PSO) will be compared with some recent...
A restricted hardware condition is difficult for optimization problems. This paper proposes a novel compact flower pollination algorithm for addressing the class of optimization problems in the restricted hardware condition. In this proposed method, the actual population of tentative solutions is not stored, but a novel probabilistic representation on the population is employed based on the single...
In engineering and design problems, various noisy non-linear mathematical optimization problems can't be efficaciously solved by using conventional optimization techniques. But metaheuristic algorithms seem very efficient to approach in these problems and became very popular such as Genetic Algorithm (GA), Particle Swarm Optimization (PSO). Recently, many new metaheuristic algorithms were proposed,...
Easy convergence to a local optimum, rather than global optimum, could unexpectedly happen in practical multimodal optimization problems. The enhanced diversity agent in optimal algorithms is one of the solutions to this issue. This paper proposes a novel optimization algorithm, namely DPP, based on the communication of the particles in Particle swarm optimization (PSO), with the pollen in Flower...
Node localization has been a very active research topic in recent years. Accurate self-localization capability is highly desirable in wireless sensor network (WSN). In this paper, a node localization algorithm based on the received signal strength (RSS) measurements and Parallel Firefly Algorithm (PFA) in Wireless Sensor Networks (WSN) is proposed. By fully considering the distance factor, an improved...
Challenging task in many practical optimization applications arises from the restricted available hardware devices due to cost or space such as the sensor nodes in wireless sensor networks. This paper proposes a novel hierarchical clustering approach for wireless sensor networks to maintain energy depletion of the network in minimum using compact Genetic Algorithm. In this proposed method, new candidate...
Parallel processing is an essential requirement for optimum computations in modern equipment. In this paper, a communication strategy for the parallelized Flower Pollination Algorithm is proposed for solving numerical optimization problems. In this proposed method, the population flowers are split into several independent groups based on the original structure of the Flower Pollination Algorithm (FPA),...
Parallel processing plays an important role in efficient and effective computations of function optimization. In this paper, an optimization algorithm based on parallel versions of the bat algorithm (BA), random-key encoding scheme, communication strategy scheme and makespan scheme is proposed to solve the NP-hard job shop scheduling problem. The aim of the parallel BA with communication strategies...
Adequate clustering provides an effective way for prolonging the lifetime of a wireless sensor network (WSN). Most proposed clustering algorithms do not consider the location of the base station. This will lead to the hot spots problem in multi-hop WSNs. In this paper, a fuzzy clustering topology is employed to prolong the lifetime of WSNs. Considering the residual energy, the distances to the base...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.