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of 382
pro vyhledávání: '"Gabriel, Steven"'
We explore the class of trilevel equilibrium problems with a focus on energy-environmental applications and present a novel single-level reformulation for such problems, based on strong duality. To the best of our knowledge, only one alternative sing
Externí odkaz:
http://arxiv.org/abs/2309.02032
This paper investigates the role of a transmission system operator within a carbon footprint reduction strategy incorporating carbon taxes and renewable energy generation subsidies in the decentralised energy market. This is achieved via an optimisat
Externí odkaz:
http://arxiv.org/abs/2302.10562
This paper investigates the game theory of resource-allocation situations where the "first come, first serve" heuristic creates inequitable, asymmetric benefits to the players. Specifically, this problem is formulated as a Generalized Nash Equilibriu
Externí odkaz:
http://arxiv.org/abs/2206.07102
Linear bilevel programs (linear BLPs) have been widely used in computational mathematics and optimization in several applications. Single-level reformulation for linear BLPs replaces the lower-level linear program with its Karush-Kuhn-Tucker optimali
Externí odkaz:
http://arxiv.org/abs/2203.06069
Disaster management is a complex problem demanding sophisticated modeling approaches. We propose utilizing a hybrid method involving inverse optimization to parameterize the cost functions for a road network's traffic equilibrium problem and employin
Externí odkaz:
http://arxiv.org/abs/2110.00488
Publikováno v:
In Energy Economics August 2024 136
Publikováno v:
In Journal of Cleaner Production 20 April 2024 451
As demonstrated by Ratliff et al. (2014), inverse optimization can be used to recover the objective function parameters of players in multi-player Nash games. These games involve the optimization problems of multiple players in which the players can
Externí odkaz:
http://arxiv.org/abs/2102.12415
Reinforcement Learning Approach to Speed-Overmatched Pursuit Games with Uncertain Target Information
Publikováno v:
Military Operations Research, 2022 Jan 01. 27(4), 37-50.
Externí odkaz:
https://www.jstor.org/stable/27182472
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