Usually, conventional optimization algorithms have difficulty in solving complex MOO tasks, and in generating diverse, high quality solutions for various structural configurations. To overcome these challenges, this study proposes a Multi Objective RIME (MORIME) algorithm that uses improved non-dominated ...
For multi-objective optimization, the SWO algorithm is extended using the Pareto concept to form the multi-objective spider wasp optimization (MOSWO) algorithm. The MOSWO algorithm applies fuzzy membership theory to extract the best compromise from non-dominant solutions, generating a well-distributed...
multi-objective ant colony optimization (MACO) [15], and multi-objective particle swarm optimization algorithm (MOPSO) [16], have been put forward one after another. In addition, some iterative optimization algorithms [17,18,19] based on different perspectives have also emerged. In these swarm i...
simultaneousoptimizationofcombustion(BSFC,Pmax), performance(BTE)andemission(co,NO,HC,smoke1 parameters.AstheobjectiveistomaximizeBTEand minimizeBSFC,Pm ,CO,N0,HC,smoke,amulti- objectiveoptimizationproblemisformulated.Non. dominatedsortinggeneticalgorithm—IIisusedinpredict— ingtheParetooptimalsetsofsolution...
Multi-objective optimizationNutcracker Optimization Algorithm (NOA) is a recently proposed meta-heuristic algorithm inspired by foraging and storing behavior of nutcracker birds. NOA demonstrates strong performance across various test sets and optimization problems. However, it faces challenges in effectively ...
A reinforcement learning based memetic algorithm for energy-efficient distributed two-stage flexible job shop scheduling problem Article Open access 28 December 2024 CGWRIME: collaboration and competition-boosted RIME optimizer for engineering optimization problems Article 06 January 2025 Cooperative metah...
Multi-objective optimization is an effective strategy when there is competition among objectives. The multi-objective optimization algorithm is introduced into the MPC control strategy, and the system-controlled output variables are optimized in ascending order of priority to meet the technological ...
The multi-objective optimization and subsequent decisions for optimal performance have also been presented. Keywords: NOx conversion efficiency; NH3 slip; genetic algorithm; support vector machine; prediction model; multi-objective optimization 1. Introduction Diesel engines are widely used in almost all ...
The proposed method also introduces the elitist strategy, enlarges the sample space, prevents the loss of the best individual, and improves the computing speed and robustness of the algorithm. The algorithm is highly suitable for processing multi-objective optimization problems with ≤3 objective ...
• Based on the HES maximum operating income and minimum load fluctuation as the objective function, a multi-objective optimization model for HES thermoelectric scheduling is constructed according to the heating storage mechanism under the objective functions. Then, a model solution algorithm is ...