Results 121 to 130 of about 37,139 (224)

Designing the Game to Play: Optimizing Payoff Structure in Security Games

, 2018
Effective game-theoretic modeling of defender-attacker behavior is becoming increasingly important. In many domains, the defender functions not only as a player but also the designer of the game's payoff structure.
Fang, Fei, Shi, Zheyuan Ryan, Singh, Rohit, Tang, Ziye, Tran-Thanh, Long   +4 more
core  

Optimized Mission Planning for Heterogeneous Uncrewed Vehicle Teams

IEEE Access
In this paper presents a new mission planning optimisation method for coverage missions involving Uncrewed Aerial Systems (UAS) and Ground Vehicles (GV) to minimize the mission planning time and the UAS and GV route length.
Sina M. H. Hajkarim, P. B. Sujit, Prathyush P. Menon   +2 more
doaj   +1 more source

Multiagent Planning and Learning As MILP

, 2020
Les processus décisionnels de Markov décentralises et partiellement observables (Dec-POMDPs) offrent un cadre unifie pour la prise de décisions séquentielles par de plusieurs agents collaboratifs—mais ils restent difficiles`a résoudre. Les reformulations en programmes linéaires mixtes (PLMs) se sont avérées utiles pour les processus décisionnels de ...
Dibangoye, Jilles, Buffet, Olivier, Kumar, Akshat   +2 more
openaire   +1 more source

Immune Procedure for Optimal Scheduling of Complex Energy Systems [PDF]

, 2006
E. Gomez-Villalva, J.M. Arroyo, J.M. Arroyo, K. Deb, L.A. Wolsey   +4 more
core   +1 more source

Learning optimal objective values for MILP

Modern Mixed Integer Linear Programming (MILP) solvers use the Branch-and-Bound algorithm together with a plethora of auxiliary components that speed up the search. In recent years, there has been an explosive development in the use of machine learning for enhancing and supporting these algorithmic components. Within this line, we propose a methodology
Scavuzzo, Lara, Aardal, Karen, Yorke-Smith, Neil   +2 more
openaire   +2 more sources

Comparative analysis of enhanced PSO and MILP methods for cost-effective transmission congestion management in deregulated power systems

Discover Energy
This study addresses transmission congestion management in deregulated power systems through generator rescheduling, aiming to minimize active and reactive adjustment costs while maintaining reliable operation.
Emmanuel Idowu Ogunwole, Senthil Krishnamurthy, Oludamilare Bode Adewuyi   +2 more
doaj   +1 more source

Code Retrieval for MILP Instance Generation

Mixed-Integer Linear Programming (MILP) is widely used in fields such as scheduling, logistics, and planning. Enhancing the performance of MILP solvers, particularly learning-based solvers, requires substantial amounts of high-quality data. However, existing methods for MILP instance generation typically necessitate training a separate model for each ...
Yang, Tianxing, Ye, Huigen, Xu, Hua
openaire   +2 more sources

Bi-level Optimal Edge Computing Model for On-ramp Merging in Connected Vehicle Environment [PDF]

, 2019
Ahn, Heejin, Barth, Matthew J, Di Cairano, Stefano, Guo, Jianlin, Kim, Kyeong Jin, Orlik, Philip V, Ye, Fei   +6 more
core   +1 more source

A New Ant Colony Optimization-Based Dynamic Path Planning and Energy Optimization Model in Wireless Sensor Networks for Mobile Sink by Using Mixed-Integer Linear Programming. [PDF]

Biomimetics (Basel)
Chen F, Wu X, Wang Z, Qi W, Li P.
europepmc   +1 more source

An improved adaptive large neighborhood search algorithm for the flexible two-tier vehicle routing problem with drone stations. [PDF]

Front Artif Intell
Li Q, Yan W, Gonsalves T.
europepmc   +1 more source