Results 31 to 40 of about 806,387 (285)
, 2009 Decision-making is one of the core tasks in project management. Traditionally, optimization methods have been developed to support managers in finding the best solutions. Alternatively, decisions can be based on simple rules of thumb, or heuristics. Even though simple heuristics only require little in the way of time and information, they have been ...
Scheibehenne, Benjamin +1 more
openaire +5 more sources
Population Dynamics in Genetic Programming for Dynamic Symbolic Regression
Applied SciencesThis paper investigates the application of genetic programming (GP) for dynamic symbolic regression (SR), addressing the challenge of adapting machine learning models to evolving data in practical applications.
Philipp Fleck +2 more
doaj +1 more source
On Load Balancing via Switch Migration in Software-Defined Networking
IEEE Access, 2019 Switch-controller assignment is an essential task in multi-controller software-defined networking. Static assignments are not practical because network dynamics are complex and difficult to predetermine.
F. Al-Tam, N. Correia
doaj +1 more source
Sequence-Based Selection Hyper-Heuristic Model via MAP-Elites
IEEE Access, 2021 Although the number of solutions in combinatorial optimization problems (COPs) is finite, some problems grow exponentially and render exact approaches unfeasible. So, approximate methods, such as heuristics, are customary.
Melissa Sanchez +3 more
doaj +1 more source
The Humility Heuristic, or: People Worth Trusting Admit to What They Don’t Know [PDF]
, 2021 People don't always speak the truth. When they don't, we do better not to trust them. Unfortunately, that's often easier said than done. People don't usually wear a ‘Not to be trusted!’ badge on their sleeves, which lights up every time they depart from ...
Skipper, Mattias
core
Bias and Variance Analysis of Contemporary Symbolic Regression Methods
Applied SciencesSymbolic regression is commonly used in domains where both high accuracy and interpretability of models is required. While symbolic regression is capable to produce highly accurate models, small changes in the training data might cause highly dissimilar ...
Lukas Kammerer +2 more
doaj +1 more source
Portfolio selection using neural networks [PDF]
, 2005 In this paper we apply a heuristic method based on artificial neural networks in order to trace out the efficient frontier associated to the portfolio selection problem.
Alberto Fernández +11 more
core +1 more source
Frequent Itemset Mining in Big Data With Effective Single Scan Algorithms
IEEE Access, 2018 This paper considers frequent itemsets mining in transactional databases. It introduces a new accurate single scan approach for frequent itemset mining (SSFIM), a heuristic as an alternative approach (EA-SSFIM), as well as a parallel implementation on ...
Youcef Djenouri +3 more
doaj +1 more source
Approaches in High Impedance Fault Detection - A Chronological Review
Advances in Electrical and Computer Engineering, 2010 This paper reviews the major contributions to the high impedance fault (HIF) detection field throughout a 48-year period, from 1960 up to 2008, from classic approaches to heuristic algorithms.
ELKALASHY, N. I. +2 more
doaj +1 more source
Mathematics, 2021 The main stages of printed circuit board (PCB) manufacturing are the design, fabrication, assembly, and testing. This paper focuses on the scheduling of the pressing process, which is a part of the fabrication process of a multi-layer PCB and is a new ...
Teeradech Laisupannawong +2 more
doaj +1 more source