Combinatorial optimization problems are encountered often in various real-world applications, including logistics, scheduling, and network design ...
Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...
A deep reinforcement learning framework optimizes silicon-based photonic crystal fiber modulators, achieving ultra-low ...
The integration of multi-modal learning with large-scale models has become a transformative force in the fields of artificial intelligence and neurorobotics. Human perception naturally relies on the ...
Abstract: The Tardy/Lost (TL) penalties scheduling is a discrete optimization problem. TL scheduling problem is an NP-hard problem. As a result, proposing an optimization algorithm to handle this ...
Water distribution network (WDN) optimization has received special attention from various technicians and researchers, mainly due to its high costs of implementation, operation and maintenance.
Abstract: A discrete particle swarm optimization algorithm with adaptive inertia weight (DPSO-AIW) is proposed to solve the multiobjective Flexible Job-shop Scheduling Problem. The algorithm uses a ...
1 Department of Industrial and Production Engineering, Basaveshwar Engineering College, Bagalkot, India. 2 Basaveshwar Engineering College, Bagalkot, India. 3 Gogte Institute of Technology, Belagavi, ...
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