MOPGO: A New Physics-Based Multi-Objective Plasma Generation Optimizer for Solving Structural Optimization Problems

This paper proposes a new Multi-Objective Plasma Generation Optimization (MOPGO) algorithm, and its non-dominated sorting mechanism is investigated for numerous challenging real-world structural optimization design problems. The (PGO) algorithm recently reported physics-based inspired by the generation process of plasma in which electron movement energy level are based on excitation modes, de-excitation, ionization processes. As search progresses, better balance between exploration exploitation has more significant impact results; thus, crowding distance feature incorporated proposed MOPGO algorithm. Also, posteriori method exercises strategy to preserve population diversity, crucial problem multi-objective meta-heuristic algorithms. In truss problems, minimization truss's mass maximization nodal displacement considered objective functions. contrast, elemental stress discrete cross-sectional areas assumed be behavior side constraints, respectively. usefulness solve complex problems validated eight truss-bar efficacy evaluated ten performance metrics. results demonstrate that achieves optimal solution with less computational complexity convergence, coverage, spread. Pareto fronts compared contrasted passing vehicle slime mould symbiotic organisms ant lion study will further supported external guidance at https://premkumarmanoharan.wixsite.com/mysite.