Spider monkey optimization (SMO): A novel optimization technique in electromagnetics

Al-Azza, Ali Abdulhadi Noaman; Al-Jodah, Ammar; Harackiewicz, Frances J.

doi:10.1109/rws.2016.7444414

Cited by 11 publications

(2 citation statements)

References 6 publications

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“…The optimization of operations inside a warehouse is currently characterized by several research areas. In particular, the implementation of a robotic system able to assist human workers in their tasks requires the capability to effectively plan and optimize the sequence of actions [2][3][4], to correctly localize persons and objects [5] and to interact with the environment and other systems in the network [6]. Since the advent of Industry 4.0, the requirements of optimizing the transport and distribution of products has encouraged the use of autonomous guided vehicles within modern automated warehouses [7].…”

Section: Related Workmentioning

confidence: 99%

Toward Future Automatic Warehouses: An Autonomous Depalletizing System Based on Mobile Manipulation and 3D Perception

et al. 2021

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This paper presents a mobile manipulation platform designed for autonomous depalletizing tasks. The proposed solution integrates machine vision, control and mechanical components to increase flexibility and ease of deployment in industrial environments such as warehouses. A collaborative robot mounted on a mobile base is proposed, equipped with a simple manipulation tool and a 3D in-hand vision system that detects parcel boxes on a pallet, and that pulls them one by one on the mobile base for transportation. The robot setup allows to avoid the cumbersome implementation of pick-and-place operations, since it does not require lifting the boxes. The 3D vision system is used to provide an initial estimation of the pose of the boxes on the top layer of the pallet, and to accurately detect the separation between the boxes for manipulation. Force measurement provided by the robot together with admittance control are exploited to verify the correct execution of the manipulation task. The proposed system was implemented and tested in a simplified laboratory scenario and the results of experimental trials are reported.

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Section: Related Workmentioning

confidence: 99%

Toward Future Automatic Warehouses: An Autonomous Depalletizing System Based on Mobile Manipulation and 3D Perception

et al. 2021

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“…Their results indicated that the effective hybridizations had the potential to improve the performances of both GA and SMO. As the principle of SMO is simple and the parameters in SMO are few, SMO has been applied to solve electromagnetic problems [11], economic dispatch problems [12], optimal design of PIDA controller [13] and so on. However, SMO has the same disadvantages as that in other population-based algorithms, such as low convergence accuracy and easy to fall into local optimization.…”

Section: Introductionmentioning

confidence: 99%

Modified Spider Monkey Optimization Algorithm Based on Self-Adaptive Inertia Weight

Liang¹,

Zhang²

2021

JISSR

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Spider monkey optimization (SMO) algorithm is a new swarm intelligence optimization algorithm proposed in recent years. It simulates the foraging behavior of spider monkeys which have fission-fusion social structure (FFSS). In this paper, a modified spider monkey optimization algorithm is proposed. The self-adaptive inertia weight is introduced in the local leader phase to enhance the self-learning ability of the spider monkey. According to the function value of an individual, the distance from the optimal value is determined, so the inertia weight related the individual function value is added to strength the global search ability or local search ability. The proposed algorithm is tested on 20 benchmark problems and compared with the original SMO and the hybrid algorithm SMOGA and GASMO. The numerical results show that the proposed algorithm has a certain degree of improvement in convergence accuracy and convergence speed. The performance of the proposed algorithm is also inspected by two classical engineering design problems.

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An Improved Spider Monkey Optimization Algorithm

Swami¹,

Kumar²,

Jain³

2017

Advances in Intelligent Systems and Computing

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Spider monkey optimization (SMO): A novel optimization technique in electromagnetics

Cited by 11 publications

References 6 publications

Toward Future Automatic Warehouses: An Autonomous Depalletizing System Based on Mobile Manipulation and 3D Perception

Toward Future Automatic Warehouses: An Autonomous Depalletizing System Based on Mobile Manipulation and 3D Perception

Modified Spider Monkey Optimization Algorithm Based on Self-Adaptive Inertia Weight

An Improved Spider Monkey Optimization Algorithm

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