1.CEC2019 - Osprey Optimization Algorithm (OOA): 10 benchmark functions in CEC2019 were optimized using the OOA, and the convergence results and 3-D maps for 2-D function were obtained.

To accomplish this, a program that uses the Genetic Algorithm optimization tool provided by Matlab R2015a was developed. To meet safety requirements, restrictions on the Ultimate Limit State were ...

Composite theories, structural optimization, genetic algorithm and panels theories are taken into account for the design. Structure was analyzed and optimized according to in-plane loading conditions ...

The particle swarm optimization (PSO) was showed to converge rapidly during the initial stages of a global search, but around global optimum, the search process will become very slow. On the other ...

To overcome these challenges, we have developed the Molecular multiobjective optimization of Monte Carlo Tree Search (MCTS) and Non-Superiority Ranking Genetic Algorithm II (NSGA-II)-MNopt, which ...

Abstract To address the conflict issues among structural mass, maximum deformation, and equivalent stress in traditional lightweight design of aircraft structures, and to improve optimization ...

In order to maximize the efficiency, a heuristic search based algorithm - Genetic Algorithm (GA) is used. The problem is formulated as a multi-objective optimization problem (MOOP) where overall ...