Results 81 to 90 of about 20,865 (294)
AI &Innovation, EarlyView.ABSTRACT Open‐source artificial intelligence is widely promoted as a democratising pathway to digital sovereignty for African states, offering access to frontier architectures without prohibitive capital investment. This paper investigates whether open‐source AI represents a credible route to autonomy or generates a new form of structural dependency ...
Ololade A. Shonubi
wiley +1 more source
Hybrid Meta-Heuristics for Robust Scheduling [PDF]
The production and delivery of rapidly perishable goods in distributed supply networks involves a number of tightly coupled decision and optimization problems regarding the just-in-time production scheduling and the routing of the delivery vehicles in ...
Dekker, R. +3 more
core +1 more source
Towards ‘Metaheuristics in the Large’ [PDF]
, 2015 There is a pressing need for a higher-level architectural per- spective in metaheuristics research. This article proposes a purely functional collection of component signatures as a basis for the scalable and automatic construction of meta- heuristics ...
Hammond, Kevin, Swann, Jerry
core
American Journal of Agricultural Economics, EarlyView.Abstract Discrete choice experiments are increasingly being used to estimate land managers' willingness to accept participation in incentive‐based environmental programs. This is a specific application of discrete choice experiments: the estimation of willingness to accept for a private good (program participation) where respondents have to make trade ...
Anastasio J. Villanueva +2 more
wiley +1 more source
Energy loss optimization of run-off-road wheels applying imperialist competitive algorithm
Information Processing in Agriculture, 2014 The novel imperialist competitive algorithm (ICA) has presented outstanding fitness on various optimization problems. Application of meta-heuristics has been a dynamic studying interest of the reliability optimization to determine idleness and ...
Hamid Taghavifar, Aref Mardani
doaj +1 more source
Guided model checking with a bayesian meta-heuristic
Proceedings. Fourth International Conference on Application of Concurrency to System Design, 2004. ACSD 2004., 2004 Summary: This paper presents a meta-heuristic for use in finding errors in models of complex concurrent systems using explicit guided model checking. The meta-heuristic improves explicit guided model checking by applying the empirical Bayes method to revise heuristic estimates of the distance from a given state to an error state.
Kevin D. Seppi +2 more
openaire +4 more sources
Asia-Pacific Journal of Chemical Engineering, EarlyView.ABSTRACT In order to reflect the actual production situation more comprehensively and optimize the production cost, this paper solves the short‐term scheduling optimization problem for a single pipeline containing high melting point crude oil. Based on the refining plan given by the upper layer, a multi‐objective optimization model with high melting ...
Jing Yao +5 more
wiley +1 more source
Optimized Path-Planning in Continuous Spaces for Unmanned Aerial Vehicles Using Meta-Heuristics
IEEE Access, 2020 This work presents a novel path-planning approach for Unmanned Aerial Vehicles (UAVs) in continuous 3D environments. This proposal aims to minimize the path length while avoiding collisions through the suitable adjusting of control points (the points ...
Geovanni Flores-Caballero +3 more
doaj +1 more source
Journal of the Association for Information Science and Technology, Volume 76, Issue 4, Page 649-664, April 2025.Abstract Many theories of human information behavior (HIB) assume that information objects are in text document format. This paper argues four important HIB theories are insufficient for describing users' search strategies for data because of assumptions about the attributes of objects that users seek.
Anthony J. Million +3 more
wiley +1 more source
EHHM: Electrical Harmony Based Hybrid Meta-Heuristic for Feature Selection
IEEE Access, 2020 Selecting the most relevant features from a high dimensional dataset is always a challenging task. In this regard, the feature selection (FS) method acts as a solution to this problem mainly in the domain of data mining and machine learning.
Khalid Hassan Sheikh +6 more
doaj +1 more source