We compare simulated annealing (SA, Marxan) and integer linear programming (ILP, prioritizr) to evaluate their performance in developing spatial conservation priorities for the proposed Weddell Sea Marine Protected Area Phase 1. While both approaches identify largely overlapping priority areas, ILP consistently produces more compact and cost‐efficient ...
Katharina Teschke +2 more
wiley +1 more source
Adaptive energy management in smart homes through fuzzy reinforcement learning and metaheuristic optimization algorithms to minimize costs. [PDF]
Hamedani MMK +3 more
europepmc +1 more source
ABSTRACT This paper presents a novel methodology for optimizing installation of low impact development practices (LIDs) in an urban hydrological catchment. This methodology helps stakeholders in deciding on what kind and area of LID must be installed in each sub‐catchment to attenuate pluvial flooding as a result of intense rain events.
Enrico Creaco +5 more
wiley +1 more source
Comprehensive framework of machine learning and deep learning architectures with metaheuristic optimization for high-fidelity prediction of nanofluid specific heat capacity. [PDF]
Mathur P +4 more
europepmc +1 more source
ABSTRACT Wildfire susceptibility mapping (WSM) is critical for forest management, land‐use planning, and disaster risk mitigation. Although hybrid artificial neural network (ANN) models optimized by metaheuristic algorithms are increasingly used in susceptibility mapping, they are often evaluated without strong machine learning benchmarks, spatially ...
Talha Taşkanat
wiley +1 more source
Nature-Inspired Metaheuristic Optimization for Control Tuning of Complex Systems. [PDF]
Garicano-Mena J, Santos M.
europepmc +1 more source
An efficient dimensionality reduction framework using metaheuristic optimization with deep learning models for amyotrophic lateral sclerosis disease progression prediction. [PDF]
Duhayyim MA.
europepmc +1 more source
Data-Driven Polymer Classification Using BiGRU and Hybrid Metaheuristic Optimization Algorithms. [PDF]
Parvez MA, Mehedi IM.
europepmc +1 more source
A hybrid approach with metaheuristic optimization and random forest in improving heart disease prediction. [PDF]
Narasimhan G, Victor A.
europepmc +1 more source
Hybrid metaheuristic optimization for detecting and diagnosing noncommunicable diseases. [PDF]
Malik S +9 more
europepmc +1 more source

