Results 111 to 120 of about 177,718 (299)
IEEE Access, 2019 Meta-heuristic algorithm has been a research hotspot in solving the optimal solution of large-scale functions. However, meta-heuristic algorithms are prone to fall into local optimum problems, such as the recently proposed dolphin swarm algorithm (DSA ...
Weibiao Qiao, Zhe Yang
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 +3 more
wiley +1 more source
Adaptive secure malware efficient machine learning algorithm for healthcare data
CAAI Transactions on Intelligence Technology, EarlyView., 2023 Abstract Malware software now encrypts the data of Internet of Things (IoT) enabled fog nodes, preventing the victim from accessing it unless they pay a ransom to the attacker. The ransom injunction is constantly accompanied by a deadline. These days, ransomware attacks are too common on IoT healthcare devices.
Mazin Abed Mohammed +8 more
wiley +1 more source
Advances in Civil EngineeringOptimization challenges effectively mirror numerous complex real-world problems. These are typically addressed using two methodologies: approximate methods and exact methods. Within the approximate category, meta-heuristic methods are prominent.
Saeedeh Ghaemifard, Amin Ghannadiasl
doaj +1 more source
Regional similarities in the distributions of well yield from crystalline rocks in Fennoscandia [PDF]
, 2010 Well yields from Precambrian and Palaeozoic bedrock in Norway, Sweden and Finland exhibit very similar and approximately log-normal distributions: all three data sets exhibit a median yield of 600–700 L hr-1, despite the differences in climate and ...
Banks, D. +4 more
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CEO Overconfidence and Corporate Social Responsibility: A Micro‐CSR Perspective
Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT Although research on micro‐level CSR has increasingly emphasized individual‐level antecedents, the role of CEO overconfidence has not been systematically integrated into the literature. To address this gap, a systematic literature review was undertaken of 62 studies on CEO overconfidence and CSR, revealing a mixed picture of positive, negative,
Jannis Kreinhop
wiley +1 more source
The EU's Strategy for Sustainability: A Landmark Turn With the European Green Deal?
European Policy Analysis, EarlyView.ABSTRACT While the European Green Deal (EGD) has been widely recognized as a milestone in the EU's sustainability strategy, scholars disagree on the nature of the policy change it represents. Critics highlight its limited social and environmental ambitions, despite its portrayal as a “man on the moon” moment.
Ekaterina Domorenok, Franco Gatti
wiley +1 more source
A multi-arm bandit neighbourhood search for routing and scheduling problems [PDF]
, 2016 Local search based meta-heuristics such as variable neighbourhood search have achieved remarkable success in solving complex combinatorial problems.
Chen, Yujie +3 more
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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 +6 more
wiley +1 more source
Slow and steady wins the race: Approximating Nash equilibria in nonlinear quadratic tracking games [PDF]
, 2015 We propose a meta-heuristic approach for solving nonlinear dynamic tracking games. In contrast to more "traditional" methods based on linear-quadratic (LQ) techniques, this derivative-free method is very flexible (e.g. to introduce inequality constraints)
Blueschke, Dmitri +2 more
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