Results 101 to 110 of about 46,625 (244)
Common Due-Date Problem: Exact Polynomial Algorithms for a Given Job Sequence
, 2013 This paper considers the problem of scheduling jobs on single and parallel machines where all the jobs possess different processing times but a common due date.
Awasthi, Abhishek +2 more
core +1 more source
Energy Internet, EarlyView.ABSTRACT Smart energy management systems (EMS) are entering a phase of rapid transformation. Artificial intelligence (AI)—including machine learning (ML), deep learning (DL), and reinforcement learning (RL)—has become the computational backbone for real‐time forecasting, scheduling, and control of renewable‐rich power systems.
Sihai An +5 more
wiley +1 more source
Current Trends in Simheuristics: from smart transportation to agent-based simheuristics [PDF]
, 2018 Simheuristics extend metaheuristics by adding a simulation layer that allows the optimization component to deal efficiently with scenarios under uncertainty.
Estrada-Moreno, Alejandro +4 more
core
Cluster validity indices for automatic clustering: A comprehensive review
HeliyonThe Cluster Validity Index is an integral part of clustering algorithms. It evaluates inter-cluster separation and intra-cluster cohesion of candidate clusters to determine the quality of potential solutions.
Abiodun M. Ikotun +2 more
doaj +1 more source
ACO for continuous function optimization: a performance analysis [PDF]
, 2014 The performance of the meta-heuristic algorithms often depends on their parameter settings. Appropriate tuning of the underlying parameters can drastically improve the performance of a meta-heuristic. The Ant Colony Optimization (ACO), a population based
Abraham, Ajith +2 more
core
BiomimeticsNowadays, metaheuristic algorithms have been applied to optimize last lower-surface models. Also, the last lower-surface model has been adjusted through the computational algorithms to perform custom shoe lasts.
J. Apolinar Muñoz Rodríguez
doaj +1 more source
Block scheduling in practice: An optimal decomposition strategy for nonidentical operating rooms
Decision Sciences, EarlyView.Abstract We develop and implement a Master Surgery Schedule for a real‐life hospital, assigning operating room (OR) time to surgical specialties over a multi‐week horizon. Through action research, we identify a critical operational challenge: the issue of split blocks. Split blocks allow two specialties to share an OR on the same day—one in the morning,
Vincent J. J. van Ham +2 more
wiley +1 more source
International Transactions in Operational Research, EarlyView.Abstract In response to the increasing complexity of modern products, dynamic markets, and intensified competition, project‐based organizations are actively seeking methodologies to efficiently manage their expanding project portfolios. This paper analyzes the project portfolio selection problem in uncertain environments. Despite recent advances in the
Miguel Saiz +3 more
wiley +1 more source
International Transactions in Operational Research, EarlyView.Abstract One of the most common problems in the expansion of a company consists of deciding the most appropriate locations for their facilities. This decision problem, known as the facility location problem, has been studied from different perspectives, considering a number of different constraints.
Enrique García‐Galán +2 more
wiley +1 more source
Quokka swarm optimization: A new nature-inspired metaheuristic optimization algorithm
Journal of Intelligent SystemsMetaheuristics are efficient algorithms designed to address a broad spectrum of optimization challenges and offer satisfactory solutions, even in scenarios of limited processing capability or incomplete information.
AL-kubaisy Wijdan Jaber +1 more
doaj +1 more source