Stochastic hybrid discrete grey wolf optimizer for multi-objective disassembly sequencing and line balancing planning in disassembling multiple products
Recycling, reusing, and remanufacturing of end-of-life (EOL) products have been receiving
increasing attention. They effectively preserve the ecological environment and promote the …
increasing attention. They effectively preserve the ecological environment and promote the …
Chaotic local search-based differential evolution algorithms for optimization
JADE is a differential evolution (DE) algorithm and has been shown to be very competitive in
comparison with other evolutionary optimization algorithms. However, it suffers from the …
comparison with other evolutionary optimization algorithms. However, it suffers from the …
Multi-objective scheduling of priority-based rescue vehicles to extinguish forest fires using a multi-objective discrete gravitational search algorithm
G Tian, AM Fathollahi-Fard, Y Ren, Z Li, X Jiang - Information Sciences, 2022 - Elsevier
The implementation of emergency scheduling of priority-based rescue vehicles for
extinguishing forest fires is a complex optimization problem facing with many challenges …
extinguishing forest fires is a complex optimization problem facing with many challenges …
Energy-efficient operation by cooperative control among trains: A multi-agent reinforcement learning approach
With the ever-increasing operating mileage of urban rail transit systems, a large amount of
energy is consumed for train operation, and the energy-saving for train operation has …
energy is consumed for train operation, and the energy-saving for train operation has …
[HTML][HTML] Optimizing energy consumption in transportation: Literature review, insights, and research opportunities
From airplanes to electric vehicles and trains, modern transportation systems require large
quantities of energy. These vast amounts of energy have to be produced somewhere …
quantities of energy. These vast amounts of energy have to be produced somewhere …
Evolutionary computation for intelligent transportation in smart cities: A survey
As the population in cities continues to increase, large-city problems, including traffic
congestion and environmental pollution, have become increasingly serious. The …
congestion and environmental pollution, have become increasingly serious. The …
Applications of genetic algorithm and its variants in rail vehicle systems: A bibliometric analysis and comprehensive review
Railway systems are time-varying and complex systems with nonlinear behaviors that
require effective optimization techniques to achieve optimal performance. Evolutionary …
require effective optimization techniques to achieve optimal performance. Evolutionary …
An intelligent optimization method for optimal virtual machine allocation in cloud data centers
P Zhang, MC Zhou, X Wang - IEEE Transactions on Automation …, 2020 - ieeexplore.ieee.org
A cloud computing paradigm has quickly developed and been applied widely for more than
ten years. In a cloud data center, cloud service providers offer many kinds of cloud services …
ten years. In a cloud data center, cloud service providers offer many kinds of cloud services …
A knowledge-based cuckoo search algorithm to schedule a flexible job shop with sequencing flexibility
ZC Cao, CR Lin, MC Zhou - IEEE Transactions on Automation …, 2019 - ieeexplore.ieee.org
Scheduling of complex manufacturing systems entails complicated constraints such as the
mating operational one. Focusing on the real settings, this article considers an extended …
mating operational one. Focusing on the real settings, this article considers an extended …
Integrated rail system and EV parking lot operation with regenerative braking energy, energy storage system and PV availability
A significant advancement regarding the electrification of transportation has occurred in
recent years due to technological developments, environmental concerns, and geopolitical …
recent years due to technological developments, environmental concerns, and geopolitical …