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Constrained multiobjective robust optimization of a bistable mechanism for inertial switch
This paper proposes an optimization method for finding the optimal design of a bistable mechanism with a desired performance that is robust to...
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Multiobjective Optimization of Hull Form Based on Global Optimization Algorithm
Rankine source method, optimization technology, parametric modeling technology, and improved multiobjective optimization algorithm were combined to...
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Application of state-of-the-art multiobjective metaheuristic algorithms in reliability-based design optimization: a comparative study
Multiobjective reliability-based design optimization (RBDO) is a research area, which has not been investigated in the literatures comparing with...
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Evolutionary multiobjective optimization via efficient sampling-based offspring generation
With the rising number of large-scale multiobjective optimization problems from academia and industries, some evolutionary algorithms (EAs) with...
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Multiobjective trajectory optimization of intelligent electro-hydraulic shovel
Multiobjective trajectory planning is still face challenges due to certain practical requirements and multiple contradicting objectives optimized...
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Multiobjective optimization design for an occupant restraint system considering interval correlation
The occupant restraint system (ORS) focuses on automobile crash safety, which can effectively reduce passenger injury. For an ORS, some design...
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Comparative study of recent metaheuristics for solving a multiobjective transonic aeroelastic optimization of a composite wing
A transonic aeroelastic optimization approach for composite wing structure is proposed in this study. Aerodynamic influence coefficient matrices are...
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A two-stage bidirectional coevolution algorithm with reverse search for constrained multiobjective optimization
AbstractConstrained multiobjective optimization problems (CMOPs) are widespread in reality. The presence of constraints complicates the feasible...
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Dynamic matrix-based evolutionary algorithm for large-scale sparse multiobjective optimization problems
Multiobjective optimization problems exist widely in practical applications involving large-scale decision variables and sparse Pareto optimal...
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A novel dynamic reference point model for preference-based evolutionary multiobjective optimization
In the field of preference-based evolutionary multiobjective optimization, optimization algorithms are required to search for the Pareto optimal...
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A robust performance evaluation approach for solution preservation in multiobjective optimization
Many real-world optimization problems have complex features, such as bias, multimodel, etc. Existing evolutionary algorithms mainly utilize...
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A novel tri-stage with reward-switching mechanism for constrained multiobjective optimization problems
The effective exploitation of infeasible solutions plays a crucial role in addressing constrained multiobjective optimization problems (CMOPs)....
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Solving Multi-Agent Pickup and Delivery Problems using Multiobjective Optimization
Multi-agent pickup and delivery is the problem of allocating tasks for the agents and finding short paths for agents without collisions. These tasks...
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Numerical simulation and multiobjective optimization of fluid–structure interaction in aluminum extrusion
Although much technological advancement has been implemented in the aluminum extrusion industry, there are still considerable expenses as tests of...
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Modified nondominated sorting genetic algorithm-based multiobjective optimization of a cross-coupled nonlinear PID controller for a Twin Rotor System
This paper presents an innovative nonlinear PID control scheme based on a modified nondominated sorting genetic algorithm validated using a...
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Improving the robust design of piezoelectric energy harvesters by using polynomial chaos expansion and multiobjective optimization
Harvesting electrical energy from mechanical vibrations through piezoelectric-based resonant devices is a suitable form of generating alternative...
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Multiple sparse detection-based evolutionary algorithm for large-scale sparse multiobjective optimization problems
Sparse multiobjective optimization problems are common in practical applications. Such problems are characterized by large-scale decision variables...
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Dual transfer learning with generative filtering model for multiobjective multitasking optimization
Multiobjective multitasking optimization (MTO) has attracted more and more attention because of its ability to solve multiple multiobjective...
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Multiobjective portfolio optimization via Pareto front evolution
Portfolio optimization is about building an investment decision on a set of candidate assets with finite capital. Generally, investors should devise...
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Navigating Uncertainty in Weapon System-of-Systems Planning: A Hybrid Multiobjective Network-Based Optimization and Fuzzy Set Approach
The evaluation of the capability of network-based systems of systems has replaced the simple method that considers return on investment, becoming a...
