Results 51 to 60 of about 1,346,527 (187)
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
A Lifelong Learning Hyper-heuristic Method for Bin Packing [PDF]
, 2015 We describe a novel Hyper-heuristic system which continuously learns over time to solve a combinatorial optimisation problem. The system continuously generates new heuristics and samples problems from its environment; representative problems and ...
Sim, Kevin, Hart, Emma, Paechter, Ben
core +1 more source
Interplanetary frontiers: terraforming from an invasion science perspective
Oikos, EarlyView.The pursuit of a multi‐planetary existence represents one of humanity's greatest frontiers. If applied justly, it offers an opportunity to extend its civilization's lifespan amid escalating sustainability crises on Earth. One approach increasingly gaining traction is terraforming, a hitherto theoretical ecological and evolutionary experiment revolving ...
Teun Everts +2 more
wiley +1 more source
Exploring hyper-heuristic methodologies with genetic programming
, 2009 Hyper-heuristics represent a novel search methodology that is motivated by the goal of automating the process of selecting or combining simpler heuristics in order to solve hard computational search problems.
Kendall, Graham +11 more
core +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
A Multi‐Sequence Adversarial Fusion U‐Net for Brain Tumor Image Segmentation
IEEJ Transactions on Electrical and Electronic Engineering, EarlyView.In the field of brain tumor image segmentation, in order to avoid the impact of insufficient number of training samples, the method of fusing multi‐modal MRI information before segmentation is widely used. However, when fusing different modal features, existing methods only add fixed weights to the features of each modality, resulting in insufficient ...
Jie Wang, Jinglu Hu
wiley +1 more source
A Dynamic Multi-Armed Bandit-Gene Expression Programming Hyper-Heuristic for Combinatorial Optimization Problems [PDF]
, 2014 Hyper-heuristics are search methodologies that aim to provide high quality solutions across a wide variety of problem domains, rather than developing tailor-made methodologies for each problem instance/domain.
Kendall, Graham +8 more
core +2 more sources
Engineered ScienceThe Hub Location Problem (HLP) is a challenging combinatorial optimization problem characterized by deceptive search landscapes and strong centralization biases.
Kassem Danach +3 more
doaj +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