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Deep Inverse Reinforcement Learning for Objective Function Identification in Bidding Models

IEEE Transactions on Power Systems, 2021
Due to the deregulation of power systems worldwide, bidding behavior simulation research has gained prominence. One crucial element in these studies is accurately defining and modelling the individual reward function (or objective function).
Hongye Guo, Qixin Chen, Q. Xia, C. Kang
semanticscholar   +1 more source

Objective Function

Encyclopedia of Machine Learning and Data Mining, 2017
openaire   +2 more sources

Utilizing the Correlation Between Constraints and Objective Function for Constrained Evolutionary Optimization

IEEE Transactions on Evolutionary Computation, 2020
When solving constrained optimization problems by evolutionary algorithms, the core issue is to balance constraints and objective function. This paper is the first attempt to utilize the correlation between constraints and objective function to keep this
Yong Wang   +3 more
semanticscholar   +1 more source

Value Maximization, Stakeholder Theory, and the Corporate Objective Function*

Business Ethics Quarterly, 2001
: In this article, I offer a proposal to clarify what I believe is the proper relation between value maximization and stakeholder theory, which I call enlightened value maximization.
M. C. Jensen
semanticscholar   +1 more source

The KKT optimality conditions for optimization problem with interval-valued objective function on Hadamard manifolds

Optimization, 2020
In this paper, we study the Karush–Kuhn–Tucker optimality conditions in an optimization problem with interval-valued objective function on Hadamard manifolds.
Sheng-lan Chen
semanticscholar   +1 more source

Grey Relational Analysis based objective Function Optimization for Predictive Torque Control of Induction Machine

2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy (PESGRE2020), 2020
This paper presents a modified objective function optimization for Predictive Torque Control (PTC) of induction machine based on Grey Relational Analysis (GRA) method. PTC offers better steady state and dynamic operating conditions on proper selection of
Vishnu Prasad Muddineni   +2 more
semanticscholar   +1 more source

Objective Functions

2013
Multiple sequence alignment involves alignment of more than two sequences and is an NP-complete problem. Therefore, heuristic algorithms that use different criteria to find an approximation to the optimal solution are employed. At the heart of these approaches lie the scoring and objective functions that a given algorithm uses to compare competing ...
Haluk, Doğan, Hasan H, Otu
openaire   +2 more sources

Object Shape, Object Function, and Object Name

Journal of Memory and Language, 1998
Abstract We investigated the roles of shape and function in object naming. Two-, three-, and five-year-olds and adults heard novel or familiar objects named; some participants also were instructed about the objects' functions. Then they were asked to generalize the names to new objects that preserved shape or functional capability; some participants ...
Barbara Landau, Linda Smith, Susan Jones
openaire   +1 more source

OF-ECF: A New Optimization of the Objective Function for Parent Selection in RPL

2019 International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), 2019
The RPL routing protocol is designed to respond to the requirements of a large range of Low-power and Lossy Networks (LLNs). RPL uses an objective function (OF) to build the route toward a destination based on routing metrics.
Hanane Lamaazi   +3 more
semanticscholar   +1 more source

Forecast sensitivity observation impact with an observation‐only based objective function

Quarterly Journal of the Royal Meteorological Society, 2018
Over recent years, the forecast sensitivity observation impact tool has been used to quantify the impact of the assimilated observations on 24 h short‐range forecasts.
C. Cardinali
semanticscholar   +1 more source

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