Hybrid teaching–learning-based optimization for solving engineering and mathematical problems

In this work, a new and effective algorithm called hybrid teaching–learning-based optimization (TLBO) charged system search (CSS) algorithms (HTC) are proposed to solve engineering mathematical problems. The CSS is inspired by Coulomb Gauss’s electrostatic laws of physics as well the Newtonian mechanic motion. TLBO interaction between teacher student in classroom. Usually, gets trapped local optimal due lack for measuring distance point. order problem, algorithm, which based on electrical laws, utilized. each factor stored under influence best global positions, it used subsequent iterations possible answers. fact, leads better balance exploration exploitation. validate method, CEC2021 CEC2005 functions optimized. Additionally, show applicability evaluate its performance convergence rate, several benchmark truss structures weight structural elements taken into account objective function, optimized displacement stress constraints. results compared with some other well-known meta-heuristic methods. that HTC improved rate quickly obtained desired design. can be adapted complex