Results 101 to 110 of about 47,568 (277)
Strategic Change, EarlyView.ABSTRACT This study explores the immediate responses of portfolio entrepreneurs (PEs) in the Netherlands to the onset of the COVID‐19 pandemic. Employing a longitudinal design, real‐time data were collected from 21 PEs through verbal interviews and open‐ended questionnaires, capturing their initial entrepreneurial reactions.
Tobias Kutzewski, Ingrid A. M. Wakkee
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
Choice Function-Based Hyper-Heuristics for Causal Discovery under Linear Structural Equation Models
BiomimeticsCausal discovery is central to human cognition, and learning directed acyclic graphs (DAGs) is its foundation. Recently, many nature-inspired meta-heuristic optimization algorithms have been proposed to serve as the basis for DAG learning.
Yinglong Dang +2 more
doaj +1 more source
Weak convergence of particle swarm optimization
, 2019 Particle swarm optimization algorithm is a stochastic meta-heuristic solving global optimization problems appreciated for its efficacity and simplicity.
Bruned, Vianney +2 more
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Adaptive non-uniform mutation based on statistics for genetic algorithms [PDF]
, 2002 Copyright @ 2002 ACMAs a meta-heuristic search algorithm based on mechanisms abstracted from population genetics, the genetic algorithm (GA) implicitly maintains the statistics about the search space through the population.
Yang, S
core
Two Tales of Uncertainty: Calibrating Overprecision With Self‐Regulated Entrepreneurial Learning
Strategic Change, EarlyView.ABSTRACT Entrepreneurial success strongly depends on decision‐making under uncertainty. Uncertainty is particularly pronounced when entrepreneurs are confronted with novel situations characterized by an absence of information. While cognitive biases, such as overprecision, can have a negative impact on decision‐making processes by distorting ...
Julian Kolbe +2 more
wiley +1 more source
A Relational View of Uncertainty
Strategic Change, EarlyView.ABSTRACT There is significant confusion and debate in entrepreneurship and strategy research about the nature and locus of uncertainty. Does uncertainty reside internally in the agent or externally in the environment? This article introduces a relational view of uncertainty (RVU) to help reframe this issue.
Daniel Leunbach
wiley +1 more source
Meta-heuristics for stable scheduling on a single machine. [PDF]
This paper presents a model for single-machine scheduling with stability objective and a common deadline. Job durations are uncertain, and our goal is to ensure that there is little deviation between planned and actual job starting times.
Ballestin, F, Leus, Roel
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BAT-BP: A new BAT based back-propagation algorithm for efficient data classification [PDF]
, 2016 Training neural networks particularly back propagation algorithm is a complex task of great importance in the field of supervised learning. One of the nature inspired meta-heuristic Bat algorithm is becoming a popular method in solving many complex ...
Hafifi, Nurfarian +4 more
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Strategic Change, EarlyView.ABSTRACT The relationship between team composition and organizational outcomes is a critical topic in many managerial and business contexts. In this study, we utilize an experimental research method to examine the impact of cognitive diversity on team dynamics.
Jantunen Ari +5 more
wiley +1 more source