diesel engine emission standards are being more stringent as it gains more publicity in industry and transportation. hence, designers have to suggest new controlling strategies which result in small amounts of emissions and a reasonable fuel economy. to achieve such a target, multi-objective optimization methodology is a good approach inasmuch as several types of objective are minimized or maxi...

The search space of large-scale multi-objective optimization problems (LSMOPs) is huge because the hundreds or even thousands decision variables involved. It very challenging to design efficient algorithms for LSMOPs whole effectively and balance convergence diversity at same time. In this paper, tackle challenge, we develop a new algorithm based on weighted framework with two effective strateg...

Abstract The Chaos Game Optimization (CGO) has only recently gained popularity, but its effective searching capabilities have a lot of potential for addressing single-objective optimization issues. Despite advantages, this method can tackle problems formulated with one objective. multi-objective CGO proposed in study is utilized to handle the several objectives (MOCGO). In MOCGO, Pareto-optimal...