Results 91 to 100 of about 1,346,527 (187)
A unified hyper-heuristic framework for solving bin packing problems
, 2014 One- and two-dimensional packing and cutting problems occur in many commercial contexts, and it is often important to be able to get good-quality solutions quickly.
Ochoa, Gabriela +3 more
core +1 more source
The winner doesn't need to take it all: Unravelling the gendered value of work time
International Journal of Management Reviews, EarlyView.Abstract How people understand, negotiate and use time at work shapes their daily experiences. Yet, when work time is divided, allocated and valued in workplaces, women often lose out. Despite pervasive empirical evidence of gender gaps, research has largely overlooked the deeper role of time in shaping inequality.
Marijana Baric +3 more
wiley +1 more source
A Bi-objective Hyper-Heuristic Support Vector Machines for Big Data Cyber-Security
IEEE Access, 2018 Cyber security in the context of big data is known to be a critical problem and presents a great challenge to the research community. Machine learning algorithms have been suggested as candidates for handling big data security problems.
Nasser R. Sabar, Xun Yi, Andy Song
doaj +1 more source
A New Hyper-Heuristic Multi-Objective Optimisation Approach Based on MOEA/D Framework. [PDF]
Biomimetics (Basel), 2023 Han J, Watanabe S.
europepmc +1 more source
A unified formulation for home healthcare routing and scheduling problems
International Transactions in Operational Research, EarlyView.Abstract Home Healthcare is an essential component of healthcare systems, where caregivers visit patients' homes to deliver services. While presenting advantages with respect to institutional care, such as being cost‐effective and alleviating family burdens, it presents challenges in scheduling and routing caregivers efficiently.
Sara Ceschia +7 more
wiley +1 more source
EHHR: an efficient evolutionary hyper-heuristic based recommender framework for short-text classifier selection. [PDF]
Cluster Comput, 2023 Almas B, Mujtaba H, Khan KU.
europepmc +1 more source
International Transactions in Operational Research, EarlyView.Abstract Multi‐restart metaheuristics can be highly effective for complex optimization problems, yet their performance depends critically on how restarts and algorithmic parameters are selected. This paper introduces a reinforcement learning approach for managing restart‐level decisions and parameter configurations in the UES–CMA‐ES hybrid ...
Antonio Bolufé‐Röhler, Bowen Xu
wiley +1 more source
A Novel Simulated Annealing-Based Hyper-Heuristic Algorithm for Stochastic Parallel Disassembly Line Balancing in Smart Remanufacturing. [PDF]
Sensors (Basel), 2023 Hu Y, Liu C, Zhang M, Jia Y, Xu Y.
europepmc +1 more source
Journal of Agrarian Change, EarlyView.ABSTRACT The influence of agrochemical firms on testing and risk assessment standards constitutes a central yet understudied dimension of the political economy of agrochemicals and the formation of a corporate‐dominated global pesticide regime. How leading R&D firms—formally positioned as competitors—have converged in the production and dissemination ...
David Demortain
wiley +1 more source
Hyper-heuristic based local search for combinatorial optimisation problems
, 2018 Combinatorial optimisation is often needed for solving real-world problems, which are often NP-hard so exact methods are not suitable. Instead local search methods are often effective to find near-optimal solutions quickly.
Nasser Sabar (19997721) +3 more
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