Results 111 to 120 of about 32,569 (254)
A Stochastic Multiobjective Optimization Framework for Wireless Sensor Networks
EURASIP Journal on Wireless Communications and Networking, 2010 In wireless sensor networks (WSNs), there generally exist many different objective functions to be optimized. In this paper, we propose a stochastic multiobjective optimization approach to solve such kind of problem.
Shibo He +5 more
doaj +1 more source
Energy Internet, EarlyView.ABSTRACT In recent years, extreme cold disasters have occurred frequently worldwide. The security of rural distribution network is threatened. The current research on enhancing the resilience of distribution network fails to consider the changes in the operating characteristics and efficiency of equipment under extreme cold disasters.
Zhigang Zhang +5 more
wiley +1 more source
Le Matematiche, 1994 In this paper we present quantitative analysis of the stability set of the first kind of stochastic multiobjective programming problems with random coefficients in the multiobjective functions.
Abou-Said H. El-Banna +1 more
doaj
International Transactions in Operational Research, EarlyView.Abstract In response to the increasing complexity of modern products, dynamic markets, and intensified competition, project‐based organizations are actively seeking methodologies to efficiently manage their expanding project portfolios. This paper analyzes the project portfolio selection problem in uncertain environments. Despite recent advances in the
Miguel Saiz +3 more
wiley +1 more source
International Transactions in Operational Research, EarlyView.Abstract The application of automated ground vehicles (AGVs) is well‐established in closed environments such as port terminals, while their operation in open areas remains challenging. In this work, we set out to overcome this limitation by introducing platooning as a transfer mode in heterogeneous vehicle networks.
Nadia Pourmohammad‐Zia +2 more
wiley +1 more source
Exact solution algorithms for biobjective mixed integer programming problems
International Transactions in Operational Research, EarlyView.Abstract We consider criterion space algorithms for biobjective mixed integer programs. The algorithms solve scalarization models in order to explore predetermined regions of the objective space called boxes, defined by two nondominated points. When exploring, the algorithm exploits information on its corner points and chooses the scalarization problem
Deniz Emre, Özlem Karsu, Firdevs Ulus
wiley +1 more source
Sensitivity Analysis for Convex Multiobjective Programming in Abstract Spaces. [PDF]
The main object of this paper is to prove that for a linear or convex multiobjective program, a dual program can be obtained which gives the primal sensitivity without any special hypothesis about the way of choosing the optimal solution in the efficient
Balbás, Alejandro +1 more
core
Integrated location–inventory planning for slow‐moving demands with waiting time limitations
International Transactions in Operational Research, EarlyView.Abstract This paper studies a stochastic facility location problem integrated with inventory and transportation decisions (SFLPIT) for supply chains with slow‐moving stock‐keeping units (SKUs). Local stores often avoid maintaining such SKUs, resulting in customer demand being fulfilled directly by a central distribution center (DC), where the ...
Jie Chu +4 more
wiley +1 more source
A matheuristic for the traveling salesman problem with positional consistency constraints
International Transactions in Operational Research, EarlyView.Abstract We propose a matheuristic for the traveling salesman problem with positional consistency constraints, where we seek to generate a set of routes with minimum total cost, in which the nodes visited in more than one route (consistent nodes) must occupy the same relative position in all routes.
Luís Gouveia, Ana Paias, Mafalda Ponte
wiley +1 more source
Straddle carrier routing optimization at container terminals utilizing telemetry‐based prediction
International Transactions in Operational Research, EarlyView.Abstract Efficient vehicle routing and scheduling for horizontal transport means on container terminals can reduce lead times and travel distances, resulting in fuel savings and productivity gains. We apply machine learning to emulate operational processes, bridging the gap between theoretical optimization models and real‐world practices at container ...
Julian Neugebauer +3 more
wiley +1 more source