Results 21 to 30 of about 3,744,840 (204)

Reduction of dimensionality in dynamic programming-based solution methods for nonlinear integer programming

open access: yesInternational Journal of Mathematics and Mathematical Sciences, 1988
This paper suggests a method of formulating any nonlinear integer programming problem, with any number of constraints, as an equivalent single constraint problem, thus reducing the dimensionality of the associated dynamic programming problem.
Balasubramanian Ram, A. J. G. Babu
doaj   +1 more source

Study on Supervised Learning Model for Optimal Histogram Solution [PDF]

open access: yesJisuanji kexue, 2023
The dynamic programming binning algorithm is currently used to realize the optimal histogram.However,its time complexity is too high.A supervised learning model based on ProbSparse self-attention is proposed in this paper to learn the dynamic programming
CHEN Yunliang, LIU Hao, ZHU Guishui, HUANG Xiaohui, CHEN Xiaodao, WANG Lizhe
doaj   +1 more source

Benchmark fuel economy for a parallel hybrid electric three-wheeler vehicle (rickshaw)

open access: yesAdvances in Mechanical Engineering, 2018
The core contribution to this work is the development of benchmark fuel economy for a three-wheeler hybrid electric rickshaw and its comparison with heuristics controllers designed with optimal and non-optimal rules.
M Asghar, Aamir I Bhatti, Tahir Izhar
doaj   +1 more source

Neuro-dynamic programming for the efficient management of reservoir networks [PDF]

open access: yes, 2001
The management of a water reservoir can be improved thanks to the use of stochastic dynamic programming (SDP) to generate management policies which are efficient with respect to the management objectives (flood protection, water supply for irrigation and
Rizzoli, Andrea Emilio   +7 more
core   +1 more source

Dynamic programming in package Mathematica [PDF]

open access: yesITM Web of Conferences
Dynamic programming (DP) is a powerful algorithmic technique for solving optimization problems by breaking them down into simpler subproblems. This paper presents an implementation of DP algorithms for two classic optimization problems: the Knapsack ...
Stanimirović Predrag S., Stupin Artem
doaj   +1 more source

Studi Komparatif Program Visual Dinamis untuk Pembelajaran Algoritma dan Pemograman Berorientasi Objek

open access: yesJournal of Applied Computer Science and Technology, 2020
As beginners, many first-year students have difficulty understanding object-oriented programming material. To help students learn algorithmic and object-oriented programming material researchers have developed visual programming (PV). Visual programming
Kursehi Falgenti
doaj   +1 more source

Dynamic flexible job shop scheduling method based on improved gene expression programming

open access: yesMeasurement + Control, 2021
Dynamic scheduling is one of the most important key technologies in production and flexible job shop is widespread. Therefore, this paper considers a dynamic flexible job shop scheduling problem considering setup time and random job arrival.
Chunjiang Zhang   +5 more
doaj   +1 more source

DISCRETE DYNAMIC PROGRAMMING [PDF]

open access: yesThe Annals of Mathematical Statistics, 1962
We consider a system with a finite number $S$ of states $s$, labeled by the integers $1, 2, \cdots, S$. Periodically, say once a day, we observe the current state of the system, and then choose an action $a$ from a finite set $A$ of possible actions. As a joint result of the current state $s$ and the chosen action $a$, two things happen: (1) we receive
openaire   +2 more sources

Dynamic programming network for point target detection

open access: yesEURASIP Journal on Advances in Signal Processing, 2023
To improve the efficiency of the dim point target detection based on dynamic programming (DP), this paper proposes a multi-frame target detection method based on a DP ring network (DPRN).
Jingneng Fu, Hongyan Wei
doaj   +1 more source

Reservoirs optimization with dynamic programming

open access: yesVietnam Journal of Mechanics, 2017
Differential Evolution (DE) and Dynamic Programming (DP) are important optimal methods in reservoir regulation. In the previous work [1], we presented the outline of DE, and applied it into Pleikrong reservoir, a big one in the Highland of Vietnam for ...
Phan Thi Thu Phuong   +3 more
doaj   +1 more source

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