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Optimal transmission angle and dynamic balancing of slider-crank mechanism with joint clearance using Pareto Bi-objective Genetic Algorithm
Following errors in manufacturing process and hinge movement, clearance occurs in the joints of mechanisms. Together with noise, vibration and...
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Development of optimization model for balancing time, cost, and environmental impact in retrofitting projects with NSGA-III
This paper presents a novel time-cost-environmental impact trade-off optimization Model (TCETOM) designed specifically for retrofitting projects in...
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Selection of Optimal Well Trajectory Using Multi-Objective Genetic Algorithm and TOPSIS Method
This study presents a novel approach for optimizing well paths in extended reach drilling (ERD) wells. Different trajectories can be used for ERD...
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Investigation of Pareto Front of Neural Network Approximation of Solution of Laplace Equation in Two Statements: with Discontinuous Initial Conditions or with Measurement Data
The paper uses a general neural network approach to solving partial differential problems. The solution is the output of a neural network with one...
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Integrating quality in resource-constrained time-cost trade-off optimization for civil construction projects using NSGA-III technique
In the realm of civil construction projects, achieving an optimal balance between project time, cost, and quality is paramount for ensuring project...
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Modified whale intelligence algorithm and Combined Compromise Solution (CoCoSo) for machinability evaluation of polymer nanocomposites
Carbon nano-onions (CNOs) are distinct from other carbon nanomaterials due to their distinctive physical and morphological features. Their addition...
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Pareto Optimal Approach for Contrast Adjustment in Gray Level Images Using IDS Algorithm
Image enhancement/contrast adjustment plays an important role in almost every image processing system. The main aim of the contrast adjustment is to...
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An environment-driven hybrid evolutionary algorithm for dynamic multi-objective optimization problems
In dynamic multi-objective optimization problems, the environmental parameters may change over time, which makes the Pareto fronts shifting. To...
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Two modified Pascoletti–Serafini methods for solving multiobjective optimization problems and multiplicative programming problems
In this paper, a modified Pascoletti–Serafini scalarization approach, called MOP_MPS, is proposed to generate approximations of a Pareto front of...
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A comparison of two hybrid optimization techniques: the Taguchi-BBD-firefly and the Taguchi-regression-firefly methods on the IS 2062-E250 steel plates boring problem
The expanding proliferation of components for engineering applications requires greater optimisation of parameters, which consequently increases the...
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MOOTLBO: a new multi-objective observer–teacher–learner-based optimization
Multi-objective problems are seen in most fields and represent challenges for researchers to solve them. Although a wide range of developed...
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Multi-objective branch-and-bound for the design-for-control of water distribution networks with global bounds
This study investigates a design-for-control (DfC) problem formulation for the joint minimization of pressure-induced leakage, maximization of...
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A new configuration approach to support the technical bid solutions for complex ETO products under uncertainties
This paper proposes a novel two-stage and multi-objective optimization design method for the configuration design of complex engineering-to-order...
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Multi-objective Lichtenberg Algorithm for the Optimum Design of Truss Structures
This study addresses the multi-objective optimization of truss structures through Lichtenberg Algorithm (MOLA) algorithm. The objective is to...
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Multi-objective equilibrium optimizer slime mould algorithm and its application in solving engineering problems
This paper aims to represent a multi-objective equilibrium optimizer slime mould algorithm (MOEOSMA) to solve real-world constraint engineering...
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Balance Between User Comfort and Energy Consumption of Two-timescale Optimization and Control in Majorization Order
Under the unique environment of high humidity and high salinity of nuclear power plants, the environment should be improved to ensure staff comfort...
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A Hybrid Multi-objective Optimization Algorithm Based on NSGA-II and MOGWO and Its Application to Optimal Design of Electromagnetic Devices
Due to the increasingly fierce competition in science, technology and economy, optimization algorithms play a crucial role in the design of...
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Multi-objective Genetic Algorithms
The goal of an optimization model is to identify the optimal values for decision variables with the objective of either maximizing or minimizing an...
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Global Optimization-Based Energy Management Strategy for Series–Parallel Hybrid Electric Vehicles Using Multi-objective Optimization Algorithm
The study of series–parallel plug-in hybrid electric vehicles (PHEVs) has become a research hotspot in new energy vehicles. The global optimal Pareto...
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Coordination analysis of system reliability using NSGA-II: a comparative study
This paper addresses the challenge of achieving a balance between reliability and cost in system design, considering the uncertainties often present...
