Suchergebnisse - Inverse multi-objective linear programming

Inverse optimization for multi-objective linear programming von Naghavi, Mostafa, Foroughi, Ali Asghar, Zarepisheh, Masoud

“… This paper generalizes inverse optimization for multi-objective linear programming where we are looking for the least problem modifications to make a given feasible solution a weak efficient solution …”
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A mixed-integer linear programming approach for circular economy-led closed-loop supply chains in green reverse logistics network design under uncertainty von Gharibi, Kazhal, Abdollahzadeh, Sohrab

“… (third objective function). To evaluate the resources and total efficiency of the proposed model to facilitate the allocation resource process, to increase resource efficiency and to improve the efficiency of disassembly centers by Inverse …”
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Inverse data envelopment analysis model to preserve relative efficiency values: The case of variable returns to scale von Lertworasirikul, Saowanee, Charnsethikul, Peerayuth, Fang, Shu-Cherng

“… ► The inverse BCC is in the form of a multi-objective nonlinear programming model. ► We propose a linear programming model for an optimal solution to the inverse BCC …”
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Trade-off preservation in inverse multi-objective convex optimization von Chan, Timothy C.Y., Lee, Taewoo

“… •New inverse multi-objective convex optimization methods are proposed.•The proposed methods infer weights quantifying intended trade-offs encoded in data …”
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Multi-objective Memetic Algorithm with Adaptive Weights for Inverse Antenna Design von Kadlec, Petr, Capek, Miloslav

“… This paper deals with discrete topology optimization and describes the modification of a single-objective algorithm into its multi-objective counterpart …”
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Dynamic Multi-Objective Optimization Based on Integrated Incremental Long Short-Term Memory and Inverse Model Prediction Strategy von Hu, Chongshuang, Wang, Rui, Lei, Tianyang, Zhang, Xiaoxiong, Li, Minghao, Jiang, Jiang

“… Dynamic multi-objective optimization problems (DMOPs) are widely applied in scheduling, resource allocation, and complex task assignments, requiring algorithms to respond quickly to environmental changes …”
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Developing a novel inverse data envelopment analysis (DEA) model for evaluating after‐sales units von Hosseininia, Seyed S. S., Saen, Reza F.

“… ) increases efficiency score. The inverse SBM model is a kind of multi‐objective non‐linear programming (MONLP) problem, which is not easy to solve …”
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An Inverse Modeling Multi-Objective Optimization Technique Based on Incremental Learning and Fuzzy Clustering von Elaziz, Gadallah Mohamed Abd, Abouelseoud, Yasmine, Kamel, Sara H.

“… The use of inverse modeling-based crossover operators in multi-objective evolutionary algorithms (MOEAs …”
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Fuzzy random multi-objective optimization using a novel mixed fuzzy random inverse DEA model in input-output production von Huang, Lizhen, Chen, Lei

“… •Developing the fuzzy random comprehensive inverse DEA model.•A optimal principle is proposed for fuzzy random multi-objective problems …”
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Multi-Objective Optimization for Inverse Kinematics of Robotic Arm with Joint Configuration von Zhou, Xibin, Chinyai, Tanyaradzwa, Tan, Lizhe

“… In this paper, the inverse kinematics of two collaborative robot arm models are investigated using a multi-objective optimization weighted sum method and a particle swarm optimization algorithm …”
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A Preference-Based Physical Programming Method for Multi-Objective Designs of Electromagnetic Devices von An, Siguang, Liu, Lei, Yang, Shiyou, Wang, Wei, Wang, Ning

“… To reduce the unnecessary information bombing of a decision maker (DM) and to improve the convergence ability of solution procedures for multi-objective design problems, a vector preference-based physical programming method is proposed …”
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Optimization of L-PBF Process Parameters: A Multi-Objective Framework for Variance Reduction and Mechanical Strength Enhancement Using Linear Programming and Multi-Objective Methods von Khaimovich, Alexander I., Smelov, Vitaliy G., Kokareva, Viktoriya V., Alekseev, Vyacheslav P.

“… This makes it possible to formulate the optimization problem in terms of linear programming …”
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Multi-objective inverse scheduling optimization of single-machine shop system with uncertain due-dates and processing times von Mou, Jianhui, Gao, Liang, Li, Xinyu, Pan, Quanke, Mu, Jiancai

“… This paper investigates a multi-objective inverse scheduling problem in single-machine shop system with due-dates and uncertain processing parameters …”
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A Real Coded Vector Population-Based Incremental Learning Algorithm for Multi-Objective Optimizations of Electromagnetic Devices von Ho, S. L., Yang, Jiaqiang, Yang, Shiyou, Bai, Yanan

“… Even though evolutionary algorithm (EA) has now become the standard and paradigm for solving multi-objective design problems, the complexity of its genetic operation is, however, limiting its popularity in engineering applications …”
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Neutrosophic hyperbolic programming strategy for uncertain multi-objective transportation problem von Kumar, Anesh, Singh, Pitam, Kacher, Yadvendra

“… This paper suggests a neutrosophic hyperbolic programming approach based on the hyperbolic membership function to get an efficient solution for an uncertain multi-objective transportation problem …”
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Sequential hierarchical least-squares programming for prioritized non-linear optimal control von Pfeiffer, Kai, Kheddar, Abderrahmane

“… We present a sequential hierarchical least-squares programming solver with trust-region and hierarchical step-filter with application to prioritized discrete non-linear optimal control …”
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A general inverse DEA model for non-radial DEA von Zhang, GuoJun, Cui, JinChuan

“… •We propose an integrated framework of inverse DEA based on non-radial DEA by multi-objective programming …”
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Globally Optimal Inverse Kinematics Method for a Redundant Robot Manipulator with Linear and Nonlinear Constraints von Tringali, Alessandro, Cocuzza, Silvio

“… Furthermore, it is suitable for multi-objective optimization, and it is able to find multiple optima with minimal input from the user, and to solve cyclic trajectories …”
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An inverse reinforcement learning algorithm with population evolution mechanism for the multi-objective flexible job-shop scheduling problem under time-of-use electricity tariffs von Zhao, Fuqing, Wang, Weiyuan, Zhu, Ningning, Xu, Tianpeng

“… Multi-objective flexible job shop scheduling problem under time-of-use electricity tariff (MOFJSP-TOU …”
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Evolutionary Algorithm Based on Surrogate and Inverse Surrogate Models for Expensive Multiobjective Optimization von Deng, Qi, Kang, Qi, Zhou, MengChu, Wang, Xiaoling, Zhao, Shibing, Wu, Siqi, Ghahramani, Mohammadhossein

“… To improve SAEAs greatly, this work proposes an evolutionary algorithm based on surrogate and inverse surrogate models by 1 …”
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