Nowadays, in majority of academic contexts, it has been tried to consider the highest possible level of similarities to the real world. Hence, most of the problems have complicated structures. Traditional methods for solving almost all of the mathematical and optimization problems are inefficient. As a result, meta-heuristic algorithms have been employed increasingly during recent years. In thi...

The accuracy of target position detection in IR seeker depends on the accuracy of tracking error signal (TES) extraction from seeker Field of View (FOV). The type of reticle inside the seeker determines the output modulation signal that carries the TES. In this paper, the stationary wagon wheel reticle is used, which makes the type of the output signal as FM modulation in the linear region of F...

Seeker optimization algorithm (SOA) is a novel search algorithm based on simulating the act of human searching, which has been shown to be a promising candidate among search algorithms for unconstrained function optimization. In this article we propose a modified seeker optimization algorithm. In order to enhance the performance of SOA, our proposed approach uses two search equations for produc...

This paper presents a seeker algorithm for solving the multi-objective reactive power dispatch problem. Swarm intelligence algorithms have been productively applied to hard optimization problems. Seeker optimization algorithm is one of the latest members of that class of metaheuristics and the primary type of this algorithm was less successful with multimodal functions. We propose hybridization...

x0. Introduction. Consider a game played by 2 players, whom we call the hider and the seeker. Let S be a simplex of dimension n, with vertices x 0 , x 1 ; : : :; x n , and M a subcomplex of S, known to both the hider and the seeker. Let be a simplex of S, known only to the hider. The seeker is permitted to ask questions of the sort \Is vertex x i in ?" The seeker's goal is to determine whether ...

In this paper we present the design and performance analysis of a Proportional Integral Derivate (PID) controller for the Autonomous Power system model using Differential Evolutionary Algorithm (DEA) for optimization of different parameter that can be tuned to improve the performance of the system studied. Differential evolutionary algorithm is a branch of evolutionary algorithm which is quiet ...

traditionally, capoeta populations from the southern caspian sea basin have been considered as capoeta capoeta gracilis. study on the phylogenetic relationship of capoeta species using mitochondrial cytochrome b gene sequences show that capoeta population from the southern caspian sea basin is distinct species and receive well support (posterior probability of 100%). based on the tree topologie...

voltage stability issues are growing challenges in many modern power systems. this paper proposes optimizing the size and location of static var compensator (svc) devices using a fuzzy weighted seeker optimization algorithm (fwsoa), as an effective solution to overcome such issues. although the primary purpose of svc is bus voltage regulation, it can also be useful for voltage stability enhance...