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Jaya clustering-based algorithm for multiobjective IoV network routing optimization
The Internet of Vehicles (IoV) is an Intelligent Transportation System, which in its turn is an application of the Internet of Things. The IoV is a...
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Multiobjective route finding in a multimode transportation network by NSGA-II
Route finding is an everyday challenge for urban residents. While many route planner applications exist, they cannot find suitable routes based on...
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Crashworthiness analysis and multiobjective robust optimization of two-stage variable thickness expansion tube under impact loading
Improving the crashworthiness performance of the expansion tube of the coupler system using the limited deformation space at the vehicle end is of...
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Single and Multiobjective Optimal Control of the Wastewater Treatment Process
This paper involves the use of state-of-the-art optimization techniques to conduct the wastewater treatment process in the most beneficial manner...
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A particle swarm optimization based multiobjective memetic algorithm for high-dimensional feature selection
Feature selection, as one of the dimension reduction methods, is a crucial processing step in dealing with high-dimensional data. It tries to...
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Sustainable Multiobjective Reservoir Optimization Considering Environmental Flow Using Python
Rising human water demands from all sectors are challenging for policymakers to improve water allocation policies for storage reservoirs. In...
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An environmental selection and transfer learning-based dynamic multiobjective optimization evolutionary algorithm
In recent years, the dynamic multiobjective optimization problems (DMOPs), whose major strategy is to track the varying PS (Pareto Optimal Solution,...
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A posteriori multiobjective techno-economic accommodation of DGs in distribution network using Pareto optimality and TOPSIS approach
Distributed generation (DG) integration with distribution networks has technical and economic implications. Solution for optimal DG accommodation...
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An efficient solution strategy for bilevel multiobjective optimization problems using multiobjective evolutionary algorithm
An efficient solution strategy is proposed for bilevel multiobjective optimization problem (BLMOP) with multiple objectives at both levels when...
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Integrating experimental modeling techniques with the Pareto search algorithm for multiobjective optimization in the WEDM of Inconel 718
Inconel 718 is a superalloy with a high nickel content that is widely used in applications requiring solid mechanical behavior and resistance to...
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Dynamic grid-based uniform search for solving constrained multiobjective optimization problems
When solving constrained multiobjective optimization problems (CMOPs), it is important to uniformly explore the promising regions that are not...
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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 multipopulation evolutionary framework with Steffensen’s method for dynamic multiobjective optimization problems
Dynamic multiobjective optimization problems (DMOPs) require the evolutionary algorithms that can track the moving Pareto-optimal fronts efficiently....
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Quantum-inspired evolutionary algorithms on continuous space multiobjective problems
Multiobjective optimization has a wide range of applications in science and engineering. Various multiobjective optimization algorithms work fine for...
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Effects of axial profile on the main bearing performance of internal combustion engine and its optimization using multiobjective optimization algorithms
The effects of axial profile parameters on the main bearing performance of the engine were investigated through the numerical method based on...
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Multiresolution community detection in complex networks by using a decomposition based multiobjective memetic algorithm
Community structures are sets of nodes that are densely linked with each other, reflecting the functional modules of real-world systems. Most...
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Multiobjective optimization for semi-active electromagnetic vehicle suspensions
In this paper, a multi-objective optimization process is used to design and optimize a semi-active hybrid electromagnetic suspension system. To...
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Adaptive dropout for high-dimensional expensive multiobjective optimization
Various works have been proposed to solve expensive multiobjective optimization problems (EMOPs) using surrogate-assisted evolutionary algorithms...
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Multiobjective Optimization
This chapter further explores multiobjective optimization by presenting the Pareto front concept. In order to find this front, the multi-criteria...