Results 81 to 90 of about 88,565 (289)

PMT: Opposition-Based Learning Technique for Enhancing Meta-Heuristic Performance

IEEE Access, 2019
Meta-heuristic algorithms have shown promising performance in solving sophisticated real-world optimization problems. Nevertheless, many meta-heuristic algorithms are still suffering from a low convergence rate because of the poor balance between ...
Hammoudeh S. Alamri, Kamal Z. Zamli
doaj   +1 more source

Shifting Tides: A Decade of Business Climate Adaptation and Resilience Research (2013–2023)

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Climate change is causing significant disruptions to the socio‐ecological systems in which organizations operate, presenting unprecedented challenges for businesses across sectors in adapting to shifting environmental conditions and building resilience to extreme weather events.
Domenico Villano, Laura Colli, Federico Martellozzo, Sara Lombardi   +3 more
wiley   +1 more source

Defining the end point of status epilepticus: A scoping review and framework for standardization

Epilepsia, EarlyView.
Abstract Status epilepticus (SE) is a life‐threatening neurological emergency with consensus‐driven definitions for onset but no standardized criteria for its end point. This gap creates uncertainty in research and clinical practice. We conducted a scoping review to evaluate how end points have been defined in SE research and to identify key areas of ...
Fawad A. Khan, Margaret T. Gopaul, Samuel L. Carter, Anil Chimakurthy, Summer Skelton, Lawrence J. Hirsch, Eugen Trinka   +6 more
wiley   +1 more source

Which Surrogate Works for Empirical Performance Modelling? A Case Study with Differential Evolution

, 2019
It is not uncommon that meta-heuristic algorithms contain some intrinsic parameters, the optimal configuration of which is crucial for achieving their peak performance. However, evaluating the effectiveness of a configuration is expensive, as it involves
Li, Ke, Tan, Kay Chen, Xiang, Zilin
core   +1 more source

Optimized Parameter Extraction in Triple Diode Solar PV Models Using Kookaburra‐based Dwarf Mongoose Approach

Energy Science &Engineering, EarlyView.
ABSTRACT Improving photovoltaics (PV) system performance through simulation requires accurate PV models. The nonlinear relationship between current and voltage, coupled with incomplete manufacturer data, presents a significant challenge in parameter estimation.
Chappani Sankaran Sundar Ganesh, Chandrasekaran Kumar, Thangavel Swaminathan Sivakumaran, Sourav Barua   +3 more
wiley   +1 more source

A hybrid scatter search. Electromagnetism meta-heuristic for project scheduling. [PDF]

In the last few decades, several effective algorithms for solving the resource-constrained project scheduling problem have been proposed. However, the challenging nature of this problem, summarised in its strongly NP-hard status, restricts the ...
De Reyck, B, Debels, D, Leus, Roel, Vanhoucke, M   +3 more
core  

Comparing several heuristics for a packing problem

, 2012
Packing problems are in general NP-hard, even for simple cases. Since now there are no highly efficient algorithms available for solving packing problems.
Hajdu-Macelaru, Mara, Pascan, Cristian, Pintea, Camelia-M.   +2 more
core   +1 more source

GP4ESP: a hybrid genetic algorithm and particle swarm optimization algorithm for edge server placement [PDF]

PeerJ Computer Science
Edge computing has attracted wide attention due to its ultra-low latency services, as well as the prevalence of smart devices and intelligent applications.
Fang Han, Hui Fu, Bo Wang, Yaoli Xu, Bin Lv   +4 more
doaj   +2 more sources

Comparative Assessment and Benchmarking of Metaheuristic Algorithms for Dynamic Photovoltaic Array Reconfiguration Under Diverse Shading Environments

Energy Science &Engineering, EarlyView.
ABSTRACT The solar photovoltaic (PV) installations, which are essential for renewable energy systems, are vulnerable to partial shading, resulting in considerable power losses and operational inefficiencies. The dynamic reconfiguration of PV arrays has become an effective strategy to mitigate these effects by adaptively modifying the array topology to ...
Manoharan Premkumar, Ravichandran Sowmya, Jagarapu S. V. Siva Kumar, Mustafa Abdullah   +3 more
wiley   +1 more source

SQG-Differential Evolution for difficult optimization problems under a tight function evaluation budget

, 2018
In the context of industrial engineering, it is important to integrate efficient computational optimization methods in the product development process.
AK Qin, CA Floudas, Cullen Schaffer, DH Wolpert, F Duddeck, F Wilcoxon, GG Wang, J Brest, J Brest, J Knowles, J Sobieszczanski-Sobieski, J Zhang, LM Rios, M Kiani, R Mallipeddi, R Sala, R Sala, R Storn, RT Haftka, S Das, S Das, S García, S Venkataraman, T Krityakierne, TJ Carrigan, X Yao, Y Wang, YM Ermoliev, YM Ermoliev   +28 more
core   +1 more source