Titlebook: Handbook of Nature-Inspired Optimization Algorithms: The State of the Art; Volume I: Solving Si Ali Mohamed,Diego Oliva,Ponnuthurai Nagarat

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,Beetle Antennae Search Algorithm for the Motion Planning of Industrial Manipulator,vel but directly uses forward kinematics to construct antennae fitness function. The experiment is practiced in the CoppeliaSim simulator for the industrial IIWA Kuka industrial manipulator to verify the performance.

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,Beetle Antennae Search Algorithm for the Motion Planning of Industrial Manipulator,d engineering applications. In this chapter, BAS is applied to the redundancy resolution of an industrial manipulator with dynamic joint velocity constraints by searching in high-dimensional space. The addressed application does not need to construct inverse kinematics equations in joint velocity le

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Parameter Estimation of Per-Unit Photovoltaic Models Using Optimization Algorithms: Comparative Stum renewable sources is essential to meet climate goals without slowing down economic growth and reducing well-being. Particularly, cost reduction in photovoltaic production technologies allows increases in installed capacity, contributing to a less expensive energy transition. Therefore, using tools

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,Space–Time Concept in Social Network Search Algorithm,luence on each other, and similarity in their behavior are the main features of users in the social networks. These features are utilized in the development of an optimization method, which is called the Social Network Search (SNS) algorithm. The SNS method is a recently developed optimizer, which m

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,Antenna Array Design Using Differential Evolution with Ranking-Based Mutation Operators,is book chapter. We apply a design framework based on Differential Evolution (DE) with ranking-based mutation operators. This DE variant uses a different mutation operator than the original DE. The basic idea in this DE variant is to probabilistically select the vectors for the mutation operator bas