Results 231 to 240 of about 3,152,913 (284)

Dynamic multi-objective aviation maintenance scheduling: an algorithmic framework. [PDF]

Sci Rep
Qi L, Lv C, Zhang T, Wang Y.
europepmc   +1 more source

Multi-UAV-Borne Surveillance Radar Trajectory Planning Method Based on Imitation Learning. [PDF]

Sensors (Basel)
Gao X, Li M, Guan K, Ge J.
europepmc   +1 more source

Occupational Health Nurses in European Nuclear Power Plants: Safety, Readiness, and Well-Being Require a Heuristic Training Framework. [PDF]

Cureus
Fumai G, Menolascina F, Morelli C.
europepmc   +1 more source

LAO∗: A Heuristic Search Algorithm That Finds Solutions With Loops

Artificial Intelligence, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shlomo Zilberstein
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A Heuristic for Suffix Solutions

IEEE Transactions on Computers, 1986
The suffix problem has appeared in solutions of recurrence systems for parallel and pipelined machines and more recently in the design of gate and silicon compilers. In this paper we present two algorithms. The first algorithm generates parallel suffix solutions with minimum cost for a given length, time delay, availability of initial values, and ...
Avinoam Bilgory, Daniel Gajski
  +5 more sources

A Survey on WSN Issues with its Heuristics and Meta-Heuristics Solutions

Wireless Personal Communications, 2021
A wireless sensor networks (WSN’s) has stimulated significant research work among the researchers in monitoring and tracking tasks. It’s a quite challenging task that needs to cope up with various conflicting issues such as energy efficiency, network lifetime, connectivity, coverage, etc. in WSN’s for designing various applications. This paper explores
Ankita Srivastava, Pramod Kumar Mishra
openaire   +2 more sources

The Optimal and Heuristic Solutions of a Distribution Network

European Journal of Operational Research, 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
P C Yang, H M Wee
exaly   +2 more sources

Heuristics for Finding Sparse Solutions of Linear Inequalities

Asia-Pacific Journal of Operational Research, 2021
In this paper, we consider the problem of finding a sparse solution, with a minimal number of nonzero components, for a set of linear inequalities. This optimization problem is combinatorial and arises in various fields such as machine learning and compressed sensing. We present three new heuristics for the problem.
Yichen Yang 0007, Zhaohui Liu 0001
openaire   +3 more sources