The Experts below are selected from a list of 68553 Experts worldwide ranked by ideXlab platform
Lijing Tan - One of the best experts on this subject based on the ideXlab platform.
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Particle swarm optimization for integrated yard truck scheduling and storage allocation problem
Congress on Evolutionary Computation, 2014Co-Authors: Ben Niu, Ting Xie, Qiqi Duan, Lijing TanAbstract:The Integrated Yard Truck Scheduling and Storage Allocation Problem (YTS-SAP) is one of the major optimization problems in container port which minimizes the total delay for all containers. To deal with this NP-hard scheduling problem, standard Particle swarm optimization (SPSO) and a local version PSO (LPSO) are developed to obtain the optimal solutions. In addition, a simple and effective `problem mapping' mechanism is used to convert Particle Position vector into scheduling solution. To evaluate the performance of the proposed approaches, experiments are conducted on different scale instances to compare the results obtained by GA. The experimental studies show that PSOs outperform GA in terms of computation time and solution quality.
Ben Niu - One of the best experts on this subject based on the ideXlab platform.
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bacterial colony optimization for integrated yard truck scheduling and storage allocation problem
International Conference on Intelligent Computing, 2014Co-Authors: Ben Niu, Ting Xie, Jing LiuAbstract:This research is motivated by both the indispensable need for optimization in container terminals and the recent advances in swarm intelligence. In this paper, we try to address the Integrated Yard Truck Scheduling and Storage Allocation Problem (YTS-SAP), one of the major optimization problems in container port, which aims at minimizing the total delay for all containers. Bacterial colony optimization (BCO), a recently developed optimization algorithm that simulates some typical behaviors of E. coli bacteria, is introduced to address this NP-hard problem. In addition, we designed a mapping schema by which the Particle Position vector can be transferred to the scheduling solution. The performance of the BCO is investigated by an experiment conducted on different scale instances compared with PSO and GA. The results demonstrate the competitiveness of the proposed approach especially for large scale and complex problems.
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Particle swarm optimization for integrated yard truck scheduling and storage allocation problem
Congress on Evolutionary Computation, 2014Co-Authors: Ben Niu, Ting Xie, Qiqi Duan, Lijing TanAbstract:The Integrated Yard Truck Scheduling and Storage Allocation Problem (YTS-SAP) is one of the major optimization problems in container port which minimizes the total delay for all containers. To deal with this NP-hard scheduling problem, standard Particle swarm optimization (SPSO) and a local version PSO (LPSO) are developed to obtain the optimal solutions. In addition, a simple and effective `problem mapping' mechanism is used to convert Particle Position vector into scheduling solution. To evaluate the performance of the proposed approaches, experiments are conducted on different scale instances to compare the results obtained by GA. The experimental studies show that PSOs outperform GA in terms of computation time and solution quality.
Giovanni Volpe - One of the best experts on this subject based on the ideXlab platform.
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intracavity optical trapping of microscopic Particles in a ring cavity fiber laser
Nature Communications, 2019Co-Authors: Fatemeh Kalantarifard, Parviz Elahi, Ghaith Makey, Onofrio M Marago, Omer F Ilday, Giovanni VolpeAbstract:Standard optical tweezers rely on optical forces arising when a focused laser beam interacts with a microscopic Particle: scattering forces, pushing the Particle along the beam direction, and gradient forces, attracting it towards the high-intensity focal spot. Importantly, the incoming laser beam is not affected by the Particle Position because the Particle is outside the laser cavity. Here, we demonstrate that intracavity nonlinear feedback forces emerge when the Particle is placed inside the optical cavity, resulting in orders-of-magnitude higher confinement along the three axes per unit laser intensity on the sample. This scheme allows trapping at very low numerical apertures and reduces the laser intensity to which the Particle is exposed by two orders of magnitude compared to a standard 3D optical tweezers. These results are highly relevant for many applications requiring manipulation of samples that are subject to photodamage, such as in biophysics and nanosciences.
Youngho Cho - One of the best experts on this subject based on the ideXlab platform.
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an electrical Particle velocity profiler using Particle transit time across uneven inter gap electrodes
Transactions of The Korean Society of Mechanical Engineers A, 2008Co-Authors: Taeyoon Kim, Dong Woo Lee, Youngho ChoAbstract:We present an electrical Particle velocity profiler using Particle transit time across uneven inter-gap electrodes. We measure both the Particle Position and velocity from the voltage signals generated by the Particles passing across sensing electrodes, thus obtaining the velocity profile of the Particles in a microfluidic channel. In the experimental study, we use polystyrene microParticles to characterize the performance of the electrical Particle velocity profiler. The Particle velocity profile is measured with the uncertainty of 5.44%, which is equivalent to the uncertainty of 5% in the previous optical method. We also experimentally demonstrate the capability of the present method for in-channel clogging detection. Compared to the previous optical methods, the present electrical Particle velocity profiler offers the simpler structure, the cheaper cost, and the higher integrability to micro-biofluidic systems.
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in channel Particle Position and velocity detectors based on Particle transit time across uneven inter gap electrodes
International Conference on Micro Electro Mechanical Systems, 2007Co-Authors: Taeyoon Kim, Dong Woo Lee, Youngho ChoAbstract:We present the first proposal to detect both Particle Position and velocity based on the electrical measurement of Particle transit time across uneven inter-gap electrodes. Compared to the previous methods, the present detector provides higher integrability for chip-based systems and achieves higher measurement stability robust to Particle size variation. The Position uncertainty of polystyrene Particles is measured as 3.3%. Particle velocity uncertainty is measured as 2.21% from the fabricated devices, achieving 2.4 times improvement compared to the uncertainty of 5.38% from the conventional optical methods. The stable performance of the present detector insensitive to Particle size variation is also verified by the experiments using different Particle sizes.
Tony Wilson - One of the best experts on this subject based on the ideXlab platform.
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dynamic axial Position control of a laser trapped Particle by wave front modification
Optics Letters, 2003Co-Authors: Taisuke Ota, Satoshi Kawata, Tadao Sugiura, Martin J Booth, Mark A A Neil, R Juskaitis, Tony WilsonAbstract:The axial Position of a laser-trapped Particle has been controlled by modification of the wave front by means of a membrane deformable mirror. The mirror gives wave-front modulation in terms of Zernike polynomials. By modulation of the Zernike defocus term we can modulate the Particle Position under conditions of laser trapping. A polystyrene Particle of 1-µm diameter was moved along the optical axis direction for a distance of 2370 nm in minimum steps of 55.4 nm. We also demonstrated Particle oscillation along the optical axis by changing the focal Position in a sinusoidal manner. From the frequency dependency of the amplitude of Particle oscillation we determined the spring constant as 91.7 nN/m.
