Algorithm optimization for solving crew scheduling problems [PDF]
In this paper, we are proposing a methodology to determine the most efficient and least costly way of crew pairing optimization. We are developing a methodology based on algorithm optimization on Eclipse opensource IDE using the Java programming language
Oketch, Christine A.
core
Meeting: Technical Consultation on Shrimp By-Catch Utilization, 27-30 Oct.
Treviño, J.E.
core +1 more source
ABSTRACT The evolution of genotypic parallelism under shared environmental conditions provides strong evidence for the role of natural selection. However, analyses typically examine genomic signatures of selection long after the putative selection event and only assess the repeatability of responses across spatial population replicates.
Mary Kathleen Hickox +5 more
wiley +1 more source
Net Algorithm Optimization, Proceedingss of Belarusian Engineering Academy
In the paper methods for optimization of net algorithms describing concurrent processes are proposed. The depth of concurrency is modeled by the set of parallel statement pairs.
Solomennik, M. +3 more
core
National fish, wildlife and plants climate adaptation strategy
The purpose of the National Fish, Wildlife and Plants Climate Adaptation Strategy is to inspire and enable natural resource administrators, elected officials, and other decision makers to take action to adapt to a changing climate.
National Fish, Wildlife and Plants Climate adaptation Partnership
core
Optimal fishing effort for commercial catfish (Clarias gariepinus) fishery in the southeast arm of Lake Malawi: A Gordon-Schaefer model approach. [PDF]
Chamera F +5 more
europepmc +1 more source
Reconciling marine capture fisheries with the blue economy: Role of satellite-based advisory services. [PDF]
Lal DM +7 more
europepmc +1 more source
Transformative artificial intelligence integration in aquatic supply chains: synergizing precision aquaculture with intelligent logistics and data-driven consumption. [PDF]
Fan X +6 more
europepmc +1 more source
Integrating digital twin technology with deep reinforcement learning for sustainable marine fishery resource management. [PDF]
Chen Y, Ke L, Hu J.
europepmc +1 more source
Multi-Temporal Prediction of High-Catch Fishing Grounds for Chub Mackerel (<i>Scomber japonicus</i>) Based on Deep Forest and SHapley Additive exPlanations (SHAP) of Environmental Contributions. [PDF]
Zhang L +5 more
europepmc +1 more source

