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Optimizing feature selection in cancer microarray data using a heap-driven evolutionary framework for high-dimensional spaces. [PDF]
Alweshah M +5 more
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Hybrid ANFIS-MPA and FFNN-MPA Models for Bitcoin Price Forecasting. [PDF]
Baştemur Kaya C, Kaya E, Sıramkaya E.
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High-performance temperature regulation of nonlinear CSTRs via a hybrid stellar oscillation optimizer and differential evolution-based PID-F control. [PDF]
Ekinci S +4 more
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HED-ID: an edge-deployable and explainable intrusion detection system optimized via metaheuristic learning. [PDF]
Nasir K +7 more
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Smart room occupancy detection using neural networks and the puma optimization algorithm. [PDF]
El-Kenawy EM +6 more
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A novel framework using particle swarm optimization and long short-term memory networks for stock market forcasting. [PDF]
Safari MH, Hosseini S.
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2014
Given the NP—hard nature of the Resource Constrained Project Scheduling Problem (RCPSP), obtaining an optimal solution for larger instances of the problem becomes computationally intractable. Metaheuristic approaches are therefore commonly used to provide near—optimal solutions for larger instances of the problem.
Agarwal A., Colak S., Erenguc S.
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Given the NP—hard nature of the Resource Constrained Project Scheduling Problem (RCPSP), obtaining an optimal solution for larger instances of the problem becomes computationally intractable. Metaheuristic approaches are therefore commonly used to provide near—optimal solutions for larger instances of the problem.
Agarwal A., Colak S., Erenguc S.
openaire +1 more source

