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An Adaptive Particle Swarm Optimization Method for Solving the Grasp Planning Problem
2012
Procedia Engineering
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This paper proposes an adaptive particle swarm optimization (APSO) approach to solve the grasp planning problem. ...
Each particle represents a configuration set describing the posture of the robotic hand. The aim of this algorithm is to search for the optimum configuration that satisfies a good stability. ...
Acknowledgements The authors would like to acknowledge the financial support of this work by grants from General Direction of Scientific Research (DGRST), Tunisia, under the ARUB program. ...
doi:10.1016/j.proeng.2012.07.194
fatcat:wrwch5ctb5b2dcrab26mbre5me
A Periodical Study to Unveil Solving Job Shop Scheduling Problem from its Root Cause
2019
International Journal for Research in Applied Science and Engineering Technology
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It is quite evident that the influence of optimization techniques plays a vital role in solving Job Shop Scheduling Problem (JSSP). ...
Job Shop Scheduling Problem (JSSP) is an optimization problem in computer science and operations research in which ideal jobs assign to resources at particular times. ...
swarm
optimization (PSO) for the job
shop scheduling problem (JSP), a
Particle
Swarm
Optimization (PSO)
10 ...
doi:10.22214/ijraset.2019.2055
fatcat:ms53s5atyre6dpttnrfxcto44i
Preface: Swarm Intelligence, Focus on Ant and Particle Swarm Optimization
[chapter]
2007
Swarm Intelligence, Focus on Ant and Particle Swarm Optimization
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Particle swarm optimizer is utilized to search for the optimum stabilizer parameter settings that optimize a given objective function. ...
The 17 th chapter, "Particle Swarm Optimization for simultaneous Optimization of Design and Machining Tolerances", proposes a sophisticated constraints handling scheme suitable for the optimization mechanism ...
doi:10.5772/5121
fatcat:s5xxnkpyejbmtff2d6m3owlpma
PORTFOLIO OPTIMIZATION USING NATURE INSPIRED COMPUTING TECHNIQUES: A REVIEW
2016
International Journal of Advanced Research
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Acknowledgement:- The authors thank Dean, RIC, Punjab Technical University, Kapurthala and Director, GNDEC, Ludhiana, for providing the necessary facilities for carrying out this research work. ...
Marinakis et al. (2009) have proposed ant colony optimization and the particle swarm optimization algorithm to solve the feature subset selection problem. ...
Kendall and Su (2005) have applied Particle Swarm Optimization for the construction of optimal risky portfolios. ...
doi:10.21474/ijar01/1550
fatcat:7cdnjrll5vas3cq3nzjcyogryy
Greedy Mechanism Based Particle Swarm Optimization for Path Planning Problem of an Unmanned Surface Vehicle
2019
Sensors
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In order to design high-quality routes for a multi-sensor integrated USV, this work improves the conventional particle swarm optimization algorithm by introducing the greedy mechanism and the 2-opt operation ...
First, a greedy black box is established for particle initialization, overcoming the randomness of the conventional method and excluding a great number of infeasible solutions. ...
Conflicts of Interest: The authors declare no conflict of interest. Sensors 2019, 19, 4620 ...
doi:10.3390/s19214620
pmid:31652911
pmcid:PMC6864551
fatcat:akw4ygisnfdtvl5bt7p66di66e
Particle Swarm Optimization for collision-free 4D trajectory planning in Unmanned Aerial Vehicles
2013
2013 International Conference on Unmanned Aircraft Systems (ICUAS)
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strategy to quickly compute a feasible but non-optimal initial solution and a stochastic optimization technique named Particle Swarm Optimization (PSO) to improve the initial solution. ...
The system detects conflicts using an algorithm based on axis-aligned minimum bounding box and resolves them cooperatively using a collision-free trajectory planning algorithm based on a simple one-at-a-time ...
The cooperative 4D trajectory planning algorithm is based on a stochastic global optimization technique named Particle Swarm Optimization (PSO). ...
doi:10.1109/icuas.2013.6564702
fatcat:urhfpyxtkjb3zdfexdyfyvtcbi
Eye in hand: Towards GPU accelerated online grasp planning based on pointclouds from in-hand sensor
2016
2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids)
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Based on pointcloud data captured during an exploratory hand motion we evaluate and optimize grasps with a hybrid Particle Swarm Optimization process. ...
This work proposes the usage of in-hand depth cameras in combination with GPU-based collision detection algorithms to realize robotics grasp planning for unknown objects on the fly. ...
Hybrid Particle Swarm Optimization (PSO) As described above we interpret grasp planning as a complex optimization problem that we solve by a hybrid PSO [15] . ...
doi:10.1109/humanoids.2016.7803394
dblp:conf/humanoids/HermannMKRD16
fatcat:vtsqlpqmsbc77drjjpczpakqvi
Selection of Best Alternative Process Plan in Automated Manufacturing Environment: An Approach Based on Particle Swarm Optimization
[chapter]
2007
Swarm Intelligence, Focus on Ant and Particle Swarm Optimization
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This paper proposes a new Intelligent Particle Swarm Optimization algorithm with the modified concept of Local Repeller (IPSO-LR) to solve the aforementioned PPS problem. ...
In this paper, a new Intelligent Particle Swarm Optimization Algorithm (IPSO-LR) with the modified concept of local repeller has been developed to efficiently model the problem in the algorithmic context ...
(GA), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), etc. ...
doi:10.5772/5112
fatcat:bjcg6elpyjcrnekzgigvsk52ka
Model-based tracking of miniaturized grippers using Particle Swarm Optimization
2016
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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This optimization problem is solved using a variant of the Particle Swarm Optimization algorithm. ...
We consider this as an optimization problem, seeking for the gripper model parameters that minimize the discrepancy between hypothesized instances of the gripper model and actual observations of the miniaturized ...
PARTICLE SWARM OPTIMIZATION Particle Swarm Optimization (PSO) is a population-based, stochastic algorithm that optimizes an objective function through the evolution of the particles of a population [24 ...
doi:10.1109/iros.2016.7759093
dblp:conf/iros/ScheggiYGM16
fatcat:56wbtpss4bdg7dnw6nnx43lvg4
A CMPSO Algorithm Based Approach to Solve the Multi-plant Supply Chain Problem
[chapter]
2007
Swarm Intelligence, Focus on Ant and Particle Swarm Optimization
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Algorithm (GA), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), etc. ...
Motivated by the capability of the biologically inspired algorithms the present research proposes a new Cooperative Multiple Particle Swarm Optimization (CMPSO) algorithm. ...
Motivated by the capability of the biologically inspired algorithms the present book on "Swarm Intelligence: Focus on Ant and Particle Swarm Optimization" aims to present recent developments and applications ...
doi:10.5772/5118
fatcat:o2yni2ca25fmtn6eqzrkxaklma
Collision-Free 4D Trajectory Planning in Unmanned Aerial Vehicles for Assembly and Structure Construction
2013
Journal of Intelligent and Robotic Systems
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but non-optimal initial solution and a stochastic optimization technique named Particle Swarm Optimization (PSO) to improve the initial solution. ...
After detecting conflicts between UAVs, the system resolves them cooperatively using a collision-free 4D trajectory planning algorithm based on a simple one-at-a-time strategy to quickly compute a feasible ...
by the Ministerio de Ciencia e Innovacion of the Spanish Government. ...
doi:10.1007/s10846-013-9948-x
fatcat:kdfrbfwy65gepomj3spk3gop6q
Solving Health Care Facility Location Problems with New Heuristic Algorithm Method
2013
International Journal of Modeling and Optimization
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We present IPSO (Improved Particle swarm optimization), as a powerful heuristic algorithm to maximizes the population assigned to a facility within the coverage distance. ...
The proposed method was compared with the results of the LINGO software, GA. The results of this comparison show that IPSO can achieve better results for the solution in a faster time. ...
We identified that Improved Particle Swarm Optimization is a powerful algorithm for maximizing this coverage. ...
doi:10.7763/ijmo.2013.v3.225
fatcat:xl7cx5eeyvedjlyot35msom5fi
Particle Swarm Optimization for Simultaneous Optimization of Design and Machining Tolerances
[chapter]
2007
Swarm Intelligence, Focus on Ant and Particle Swarm Optimization
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In the meantime, each design tolerance for the single dimension should be subsequently refined to satisfy the requirement for process plans in Particle Swarm Optimization for simultaneous Optimization ...
estimated mean shift criteria) Minimum manufacturing cost in a given number of generations Particle Swarm Optimization for simultaneous Optimization of Design and Machining Tolerances 329
Particle ...
Swarm Intelligence, Focus on Ant and Particle Swarm Optimization In the era globalisation the emerging technologies are governing engineering industries to a multifaceted state. ...
doi:10.5772/5110
fatcat:tsf4g4fclzbblgzfiv4s24fpru
Particle Swarm Optimization for Simultaneous Optimization of Design and Machining Tolerances
[chapter]
2006
Lecture Notes in Computer Science
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In the meantime, each design tolerance for the single dimension should be subsequently refined to satisfy the requirement for process plans in Particle Swarm Optimization for simultaneous Optimization ...
estimated mean shift criteria) Minimum manufacturing cost in a given number of generations Particle Swarm Optimization for simultaneous Optimization of Design and Machining Tolerances 329
Particle ...
Swarm Intelligence, Focus on Ant and Particle Swarm Optimization In the era globalisation the emerging technologies are governing engineering industries to a multifaceted state. ...
doi:10.1007/11903697_110
fatcat:zlpdf64rnvf4tlqy7lfqdtpk3m
Solving the Quadratic Assignment Problem with the modified hybrid PSO algorithm
2012
2012 6th International Conference on Application of Information and Communication Technologies (AICT)
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So, we use SPV to the QAP problem, which is a discrete problem. A simple but very efficient Hill Climbing method is embedded in the particle swarm optimization algorithm. ...
In this paper a particle swarm optimization algorithm is presented to solve the Quadratic Assignment Problem, which is a NP-Complete problem and is one of the most interesting and challenging combinatorial ...
PARTICULAR SWARM OPTIMIZATION Particle swarm optimization (PSO) is a population based computational technique inspired from the simulation of social behavior of flock of birds. ...
doi:10.1109/icaict.2012.6398534
fatcat:bztc43rgf5hhdjl4rza7hfghbi
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