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Related Concept Videos

Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
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Related Experiment Video

Updated: Jul 16, 2026

Hybrid Microdrive System with Recoverable Opto-Silicon Probe and Tetrode for Dual-Site High Density Recording in Freely Moving Mice
08:57

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Published on: August 10, 2019

Storage Location Allocation and Crane Scheduling Optimization in Automated Storage and Retrieval Systems with Dual

Zihang Yuan1, Wenbin Zhang1, Chunjiang Zhang1

  • 1School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.

Sensors (Basel, Switzerland)
|July 15, 2026
PubMed
Summary

This study introduces an Elite-Driven Synchronized-Repair Memetic Algorithm (ED-SRMA) for optimizing automated storage and retrieval systems (AS/RSs). The novel algorithm significantly reduces travel time in dual-I/O shared-storage environments.

Keywords:
automatedstorage and retrieval systemmemetic algorithmrepair-based constraint handlingscheduling optimizationsensor-informed scheduling

More Related Videos

Quasi-light Storage for Optical Data Packets
07:45

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

Related Experiment Videos

Last Updated: Jul 16, 2026

Hybrid Microdrive System with Recoverable Opto-Silicon Probe and Tetrode for Dual-Site High Density Recording in Freely Moving Mice
08:57

Hybrid Microdrive System with Recoverable Opto-Silicon Probe and Tetrode for Dual-Site High Density Recording in Freely Moving Mice

Published on: August 10, 2019

Quasi-light Storage for Optical Data Packets
07:45

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

Area of Science:

  • Operations Research
  • Industrial Engineering
  • Computer Science

Background:

  • Automated Storage and Retrieval Systems (AS/RSs) face complex optimization challenges.
  • Integrated optimization of storage space allocation and crane scheduling is crucial for efficiency.
  • Dual I/O ports and Shared Storage strategies introduce significant combinatorial complexity.

Purpose of the Study:

  • To develop an effective algorithm for integrated storage space allocation and crane scheduling in AS/RSs.
  • To address the NP-hard problem of multi-shuttle crane scheduling under dual I/O and shared storage.
  • To minimize total travel time by optimizing task assignment, sequencing, and location allocation.

Main Methods:

  • Proposed an Elite-Driven Synchronized-Repair Memetic Algorithm (ED-SRMA).
  • Formulated a sensor-informed total-travel-time objective based on crane displacements.
  • Employed a dual-layer representation, cross-layer synchronization, feasibility-repair, elite preservation, and local refinement.

Main Results:

  • Shared-storage mode reduced mean total travel time by 4.57-14.89% compared to non-shared storage.
  • ED-SRMA outperformed Base-GA (5.48-39.59% reduction) and PSO (3.99-28.82% reduction).
  • Convergence analysis showed earlier objective reduction and sustained improvement for ED-SRMA.

Conclusions:

  • ED-SRMA is effective and statistically significant for dual-I/O shared-storage scheduling problems.
  • The algorithm demonstrates consistent performance across various problem scales.
  • Integrated optimization significantly enhances AS/RS efficiency and reduces travel time.