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Chapter and Conference Paper
Effect of Material Properties in Predicting the Fatigue Life of Offshore Pipelines Subjected to VIV
Due to subsurface currents, cold-water pipelines and risers installed for energy conversion processes in ocean environments are frequently subject to Vortex-Induced Vibration (VIV). The VIV response of the mem...
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Chapter and Conference Paper
Design of Spherical Hop** Terrain Surveillance Robot
This paper deals with the design of rolling, steering and jum** mechanisms of a spherical surveillance robot that can be operated in hilly and rough terrain regions. The driving mechanism of the robot is des...
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Article
Demonstrating the importance of using total time balance instead of route balance on a multi-objective vehicle routing problem with time windows
‘Route balance’ is the difference between the longest and the shortest among all the route lengths. The route balance is frequently considered in a vehicle routing problem (VRP) for balancing the distance trav...
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Article
Erratum to: Application of particle swarm optimisation in artificial neural network for the prediction of tool life
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Article
Concurrent optimization of machining process parameters and tolerance allocation
With the advent use of sophisticated and high-cost machines coupled with higher labor costs, concurrent optimization of machining process parameters and tolerance allocation plays a vital role in producing the...
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Article
Evolutionary bi-criteria optimum design of robots based on task specifications
The optimum robot structure design problem based on task specifications is an important one, since it has greater influence on manipulator workspace design, vibrations of the manipulator during operation, mani...
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Article
Multi-objective dynamic optimal trajectory planning of robot manipulators in the presence of obstacles
In this paper, a real-world test problem is presented and made available for the use of evolutionary multi-objective community. The generation of manipulator trajectories by considering multiple objectives and...
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Article
Evolutionary optimal trajectory planning for industrial robot with payload constraints
This paper presents a new general methodology based on the evolutionary algorithms—elitist non-dominated sorting genetic algorithm (NSGA-II) and differential evolution (DE)—for optimal trajectory planning of a...
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Article
Evolutionary Minimum Cost Trajectory Planning for Industrial Robots
A general method for computing minimum cost trajectory planning for industrial robot manipulators is presented. The aim is minimization of a cost function with constraints namely joint positions, velocities, j...
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Article
Evolutionary collision-free optimal trajectory planning for intelligent robots
This paper presents optimization procedures based on evolutionary algorithms such as the elitist non-dominated sorting genetic algorithm (NSGA-II) and differential evolution (DE) for solving the trajectory pla...
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Article
Selection of machining parameters for constrained machining problem using evolutionary computation
In this paper, the optimization of cutting parameters for constrained machining operations is reported. Modified genetic algorithm (MGA) is an evolutionary computation technique that has been proposed in this ...
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Article
Application of particle swarm optimisation in artificial neural network for the prediction of tool life
In an advanced manufacturing system, accurate assessment of tool life estimation is very essential for optimising the cutting performance in turning operation. Estimation of tool life generally requires consid...
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Article
Simultaneous scheduling of parts and automated guided vehicles in an FMS environment using adaptive genetic algorithm
Automated Guided Vehicles (AGVs) are among various advanced material handling techniques that are finding increasing applications today. They can be interfaced to various other production and storage equipment...
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Article
Simultaneous scheduling of parts and automated guided vehicles in an FMS environment using adaptive genetic algorithm
Automated Guided Vehicles (AGVs) are among various advanced material handling techniques that are finding increasing applications today. They can be interfaced to various other production and storage equipment...
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Article
Application of particle swarm optimisation in artificial neural network for the prediction of tool life
In an advanced manufacturing system, accurate assessment of tool life estimation is very essential for optimising the cutting performance in turning operations. Estimation of tool life generally requires consi...
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Article
Particle swarm optimization (PSO) algorithm for optimal machining allocation of clutch assembly
Nowadays tolerance optimization is increasingly becoming an important tool for manufacturing and mechanical design. This seemingly, arbitrary task of assigning dimension tolerance can have a large effect on th...
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Article
Optimization of cutting conditions during continuous finished profile machining using non-traditional techniques
Optimum machining parameters are of great concern in manufacturing environments, where economy of machining operation plays a key role in competitiveness in the market. Many researchers have dealt with the opt...
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Article
Optimization of Machining Parameters for Milling Operations Using Non-conventional Methods
In this paper, optimization procedures based on the genetic algorithm, tabu search, ant colony algorithm and particle swarm optimization Algorithm were developed for the optimization of machining parameters fo...
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Article
Scheduling optimisation of flexible manufacturing systems using particle swarm optimisation algorithm
The increased use of flexible manufacturing systems (FMS) to efficiently provide customers with diversified products has created a significant set of operational challenges. Although extensive research has bee...
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Article
Tolerance design optimization of machine elements using genetic algorithm
An important problem that faces design engineers is how to assign tolerance limits. In practical applications, tolerances are most often assigned as an informal compromise between functionality, quality and ma...