Results 71 to 80 of about 2,657,297 (246)

Data, not documents: Moving beyond theories of information‐seeking behavior to advance data discovery

open access: yesJournal 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

A Comparison of Metaheuristic Algorithms for Structural Optimization: Performance and Efficiency Analysis

open access: yesAdvances in Civil Engineering
Optimization challenges effectively mirror numerous complex real-world problems. These are typically addressed using two methodologies: approximate methods and exact methods. Within the approximate category, meta-heuristic methods are prominent.
Saeedeh Ghaemifard, Amin Ghannadiasl
doaj   +1 more source

Meta-heuristic algorithms for the control tuning of omnidirectional mobile robots

open access: yes, 2019
The growth in usage of efficient mobile robots in engineering has motivated the search for new alternatives to improve the control tuning task. In this article, Cartesian space proportional–derivative control tuning for omnidirectional mobile robots is ...
Omar Serrano-Pérez (6506195)   +3 more
core   +1 more source

Context‐centric proactive information delivery for Knowledge Work support: Opportunities, challenges, and directions. An Annual Review of Information Science and Technology (ARIST) paper

open access: yesJournal of the Association for Information Science and Technology, EarlyView.
Abstract Context‐centric proactive information delivery (PID) is a relatively underexplored domain within recommender systems (RS) aimed at enhancing Knowledge Workers' productivity by proactively providing relevant information during digital tasks.
Mahta Bakhshizadeh   +4 more
wiley   +1 more source

Heuristic estimates in shortest path algorithms [PDF]

open access: yes
Shortest path problems occupy an important position in Operations Research aswell as in Arti¯cial Intelligence. In this paper we study shortest path algorithms thatexploit heuristic estimates. The well-known algorithms are put into one framework.Besides
Pijls, W.H.L.M.
core  

When Collaboration Bridges or Breaks: A Systematic Review of Emerging Trends in Supply Chain Resilience and Sustainability

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Widespread digital adoption has challenged our understanding of how these tools reshape collaboration, trust and sustainability outcomes across different institutional and network contexts. As networks now pursue resilience and sustainable development in parallel, we map emerging research directions and identify how collaboration and ...
Ari Carisza Graha Prasetia   +1 more
wiley   +1 more source

A hybrid scatter search. Electromagnetism meta-heuristic for project scheduling. [PDF]

open access: yes
In the last few decades, several effective algorithms for solving the resource-constrained project scheduling problem have been proposed. However, the challenging nature of this problem, summarised in its strongly NP-hard status, restricts the ...
Debels, D   +3 more
core  

Integrating Recycling and Emission Reduction: A Business Strategy Analysis With Multi‐Objective Mixed‐Integer Linear Programming Framework for Optimising Sustainable Closed‐Loop Supply Chain Network Design

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT This research develops an integrated mixed‐integer linear programming (MILP) model for closed‐loop supply chain network design that optimises competing economic and environmental objectives including profit maximisation, supplier quality improvement and CO2 emission reduction.
Reza Eslamipoor
wiley   +1 more source

EHHM: Electrical Harmony Based Hybrid Meta-Heuristic for Feature Selection

open access: yesIEEE 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

Meta-Heuristic Algorithms in Medical Image Segmentation

open access: yes, 2018
Artificial intelligence is the outlet of computer science apprehensive with creating computers that perform as humans. It compromises expert systems, playing games, natural language, and robotics.
Nilanjan Dey, Amira S. Ashour
core   +1 more source

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