Results 71 to 80 of about 7,821 (233)
Hybrid Graph Heuristics within a Hyper-heuristic Approach to Exam Timetabling Problems [PDF]
, 2005 This paper is concerned with the hybridization of two graph coloring heuristics (Saturation Degree and Largest Degree), and their application within a hyperheuristic for exam timetabling problems.
Burke, Edmund +3 more
core +1 more source
IEEE AccessDriven by the growing demand for adaptive and automated search control in combinatorial optimization, hyper-heuristic frameworks have become an important approach for handling heterogeneous problem instances.
Alaa Khudhair Abbas, Esam Taha Yassen
doaj +1 more source
Towards the Design of Heuristics by Means of Self-Assembly [PDF]
, 2010 The current investigations on hyper-heuristics design have sprung up in two different flavours: heuristics that choose heuristics and heuristics that generate heuristics.
Dario Landa-Silva +5 more
core +5 more sources
Accelerating MRI With Longitudinally‐Informed Latent Posterior Sampling
Magnetic Resonance in Medicine, EarlyView.ABSTRACT Purpose To accelerate MRI acquisition by incorporating the previous scans of a subject during reconstruction. Although longitudinal imaging constitutes much of clinical MRI, leveraging previous scans is challenging due to the complex relationship between scan sessions, potentially involving substantial anatomical or pathological changes, and ...
Yonatan Urman +4 more
wiley +1 more source
Hyper Heuristic Memetic-Algorithm Based Optimization of Solar Photovoltaic Systems [PDF]
E3S Web of ConferencesFor identifying maximum power tracking by using a solar PV system, a modified solar panel is designed with the support of reflector. Based on diameter and size, reflector is selected.
Deshmukh Rajesh Keshavrao +1 more
doaj +1 more source
Case-Based Reasoning as a Heuristic Selector in a Hyper-Heuristic for Course Timetabling Problems [PDF]
, 2002 This paper studies Knowledge Discovery (KD) using Tabu Search and Hill Climbing within Case-Based Reasoning (CBR) as a hyper-heuristic method for course timetabling problems.
Petrovic, Sanja, Qu, Rong
core
Reinforcement learning based local search for grouping problems: A case study on graph coloring [PDF]
, 2016 Grouping problems aim to partition a set of items into multiple mutually disjoint subsets according to some specific criterion and constraints. Grouping problems cover a large class of important combinatorial optimization problems that are generally ...
Duval, Béatrice +2 more
core +5 more sources
Multi‐Agent Reinforcement Learning for Joint Police Patrol and Dispatch
Naval Research Logistics (NRL), EarlyView.ABSTRACT Police patrol units need to split their time between performing preventive patrol and being dispatched to serve emergency incidents. In the existing literature, patrol and dispatch decisions are often studied separately. We consider joint optimization of these two decisions to improve police operations efficiency and reduce response time to ...
Matthew Repasky, He Wang, Yao Xie
wiley +1 more source
Hyper-Heuristics and Scheduling Problems: Strategies, Application Areas, and Performance Metrics
IEEE AccessScheduling problems, which involve allocating resources to tasks over specified time periods to optimize objectives, are crucial in various fields. This work presents hyper-heuristic applications for scheduling problems, analyzing 215 peer-reviewed ...
Alonso Vela +4 more
doaj +1 more source
Policy Capacity Under Decentralization: Kindergarten Education Reforms in the Philippines
Public Administration and Development, EarlyView.ABSTRACT The paper examines the relationship between policy capacity and policy effectiveness in decentralized governance setups. It challenges the conventional view that policy functions should only be decentralized when requisite capacities already exist at lower levels of government. Instead, the paper proposes that capacity can follow function ‐ as
Kidjie Ian Saguin, M. Ramesh
wiley +1 more source