Projectile-target search algorithm: a stochastic metaheuristic optimization technique

Abstract

This paper proposes a new stochastic metaheuristic optimization algorithm which is based on kinematics of projectile motion and called projectile-target search (PTS) algorithm. The PTS algorithm employs the envelope of projectile trajectory to find the target in the search space. It has 2 types of control parameters. The first type is set to give the possibility of the algorithm to accelerate convergence process, while the other type is set to enhance the possibility to generate new better projectiles for searching process. However, both are responsible to find better fitness values in the search space. In order to perform its capability to deal with global optimum problems, the PTS algorithm is evaluated on six well-known benchmarks and their shifted functions with 100 dimensions. Optimization results have demonstrated that the PTS algoritm offers very good performances and it is very competitive compared to other metaheuristic algorithms

Hardware-in-the-Loop Implementation of Projectile Target Search Algorithm for Selective Harmonic Elimination in a 3-Phase Multilevel Converter

“…In [17], [18] the total number of switches used are 8 and the voltage levels produced are 7 and 11 respectively. In [27] the converter produces 7 level of output voltage with 11 switches. The converter used in this paper requires only seven switches for producing an 11-level output.…”

“…The PTS algorithm is a metaheuristic optimization technique based on the kinematics of projectile motion [27]. The algorithm uses the projectile trajectory envelope to find the target in the search space.…”

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“…The simulation studies show that the proposed algorithm offers high accuracy. Hiendro [17] proposes a new algorithm for metaheuristic optimization based on projectile mobility kinematics and is called projectile-target search (PTS) algorithm. PTS algorithm uses envelope projectile trajectory to find the target in the search space.…”

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