Improved seagull optimization algorithm

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Digital Technologies Disclosure and the Cost of Capital: The Mediating Role of Sustainability Performance

Business Strategy and the Environment, Volume 35, Issue 4, Page 5895-5925, May 2026.
ABSTRACT This study examines the economic consequences of Digital Technologies Disclosure (DTD), focusing on its impact on the cost of capital. The increasing significance of digital transformation in shaping corporate strategies and market perceptions motivates the study.
Hussein Mohsen Saber Ahmed +2 more
wiley +1 more source

Automated Feature Extraction and Classification of Submerged Cultural Heritage Assets in the Puck Lagoon via Multisensor Remote Sensing

Archaeological Prospection, Volume 33, Issue 2, Page 397-421, April/June 2026.
ABSTRACT This study presents a strong framework for the detection and classification of Submerged Cultural Heritage Assets (SCHA) in shallow marine environments using the integration of multibeam echosounder and airborne LiDAR bathymetry with object‐based image analysis and fuzzy logic–based classification.
Łukasz Janowski +4 more
wiley +1 more source

Forecasting Carbon Prices: A Literature Review

Journal of Forecasting, Volume 45, Issue 2, Page 496-529, March 2026.
ABSTRACT Carbon emissions trading is utilized by a growing number of states as a significant tool for addressing greenhouse gas emissions (GHG), global warming problem and the climate crisis. Accurate forecasting of carbon prices is essential for effective policy design and investment strategies in climate change mitigation.
Konstantinos Bisiotis +2 more
wiley +1 more source

Applying computer vision to accelerate monitoring and analysis of bird incubation behaviors: a case study using common eider nest camera footage

Remote Sensing in Ecology and Conservation, Volume 12, Issue 1, Page 21-37, February 2026.
Visualization of the pipeline is divided into two primary segments: automated (i.e., the user adapts the code directly to build a custom computer vision model) and human‐in‐the‐loop (i.e., the user manually evaluates the output of the model). In step 1, raw imagery data are selected for training and testing datasets; ideally, these datasets are ...
Lindsay Veazey +3 more
wiley +1 more source

AI‐Driven Optimization Techniques for Power Quality Improvement in Microgrids: Trends, Techniques, and Future Directions

Energy Science &Engineering, Volume 14, Issue 1, Page 583-610, January 2026.
Decentralized energy systems are gaining momentum, and microgrids have become a vital component of the modern power landscape. Yet, maintaining power quality within these systems presents ongoing challenges due to the presence of nonlinear loads, variable renewable energy sources, and frequent switching operations.
Mahnoor Zahid +5 more
wiley +1 more source

Order Picking Systems in the Transition to Industry 5.0: A Systematic Review of Human‐Robot Collaboration

IET Collaborative Intelligent Manufacturing, Volume 8, Issue 1, January/December 2026.
This systematic review examines how order‐picking systems are evolving under the combined pressures of e‐commerce growth, workforce constraints and increasing automation. Synthesising 56 studies, the article highlights the central role of Human‐Robot Collaboration within the Industry 5.0 paradigm and reveals a strong emphasis on efficiency‐driven ...
David Montemurri +2 more
wiley +1 more source

Parameter calibration of finite element model of reinforced concrete arch bridge based on ISOA-RBF neural network

Scientific Reports
To achieve efficient and accurate finite element (FE) model updating for reinforced concrete (RC) arch bridges, this study proposes a novel methodology that integrates an Improved Seagull Optimization Algorithm (ISOA) with a Radial Basis Function (RBF ...
Wenping Peng +4 more
doaj +1 more source

Developing a Quadratic Interpolation Northern Goshawk Optimiser and Its Application for Solving Electrical Engineering Problems

IET Renewable Power Generation, Volume 20, Issue 1, January/December 2026.
We propose an enhanced metaheuristic algorithm, quadratic interpolation northern goshawk optimisation (QINGO), that integrates the generalised quadratic interpolation method into the northern goshawk optimisation framework. The proposed algorithm shows superior convergence, stability, and accuracy compared with several existing methods on standard ...
Ahmed H. A. Adam, Salah Kamel, Mohamed H. Hassan +2 more
wiley +1 more source

A Novel Dual Fitness–Distance Balance Chaotic Evolution Algorithm for Parameter Extraction of PEM Fuel Cell Models

IET Renewable Power Generation, Volume 20, Issue 1, January/December 2026.
This study proposes a novel dual fitness–distance balance chaotic evolution optimisation (DFDBCEO) algorithm for the highly accurate parameter estimation of proton exchange membrane fuel cell models. By integrating global spatial distance and local neighbourhood diversity, the proposed architecture effectively prevents premature convergence in complex ...
Yunus Hınıslıoğlu
wiley +1 more source

A Hybrid Fitness‐Guided Starfish Optimiser for Stochastic Allocation of Photovoltaic Energy Sources in Distribution Systems

IET Renewable Power Generation, Volume 20, Issue 1, January/December 2026.
This paper develops a hybrid fitness‐guided starfish optimiser (HF‐SFO) for stochastic photovoltaic‐distributed generation integration in radial distribution networks. Hybridised with the point estimate method, the proposed HF‐SFO models load demand and PV uncertainty using a reduced scenario matrix of five cases, each with assigned probabilistic ...
Ali S. Aljumah +3 more
wiley +1 more source

seagull optimization algorithm
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