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Full-Text Articles in Engineering
Solving Machine Loading Problem Of Fms: An Artificial Intelligence (Ai) Based Random Search Optimization Approach, Anoop Prakash, Nagesh Shukla, Ravi Shankar, Manoj Tiwari
Solving Machine Loading Problem Of Fms: An Artificial Intelligence (Ai) Based Random Search Optimization Approach, Anoop Prakash, Nagesh Shukla, Ravi Shankar, Manoj Tiwari
Nagesh Shukla
Artificial intelligence (AI) refers to intelligence artificially realized through computation. AI has emerged as one of the promising computer science discipline originated in mid-1950. Over the past few decades, AI based random search algorithms, namely, genetic algorithm, ant colony optimization, and so forth have found their applicability in solving various real-world problems of complex nature. This chapter is mainly concerned with the application of some AI based random search algorithms, namely, genetic algorithm (GA), ant colony optimization (ACO), simulated annealing (SA), artificial immune system (AIS), and tabu search (TS), to solve the machine loading problem in flexible manufacturing system. Performance …
Optimization Of System Reliability Using Chaos-Embedded Self-Organizing Hierarchical Particle Swarm Optimization, M Bachlaus, N Shukla, M Tiwari, R Shankar
Optimization Of System Reliability Using Chaos-Embedded Self-Organizing Hierarchical Particle Swarm Optimization, M Bachlaus, N Shukla, M Tiwari, R Shankar
Nagesh Shukla
This paper addresses a reliability optimization problem, where the motive is to select the best components for series and series-parallel systems such that system reliability becomes maximized while simultaneously minimizing the cost, weight, and volume. Previous formulation of the problem has implicit restrictions, i.e. it either maximizes system reliability or minimizes the cost. Thus, in order to give a realistic view to the model, a comprehensive objective function has been formulated by combining the normalized values of reliability, cost, weight, and volume. In this paper, a chaos-embedded hierarchical particle swarm optimization (CE-HPSO) algorithm has been proposed to solve the problems …
Optimization Of Frt Active Power Performance Of A Dfig During Transient Grid Faults, L Meegahapola, Damian Flynn, Tim Littler
Optimization Of Frt Active Power Performance Of A Dfig During Transient Grid Faults, L Meegahapola, Damian Flynn, Tim Littler
Dr Lasantha G Meegahapola
Optimal fault ride-through (FRT) conditions for a doubly-fed induction generator (DFIG) during a transient grid fault are analyzed with special emphasis on improving the active power generation profile. The transition states due to crowbar activation during transient faults are investigated to exploit the maximum power during the fault and post-fault period. It has been identified that operating slip, severity of fault and crowbar resistance have a direct impact on the power capability of a DFIG, and crowbar resistance can be chosen to optimize the power capability. It has been further shown that an extended crowbar period can deliver enhanced inertial …
Strength-Toughness Optimization In Steel Welds, M Murugananth
Strength-Toughness Optimization In Steel Welds, M Murugananth
Muruganant Marimuthu
No abstract provided.
Algorithme D’Elaboration D’Un Reseau Electrique A Gestion Optimale D’Ecoulement Des Puissances, Tarek Mesbah
Algorithme D’Elaboration D’Un Reseau Electrique A Gestion Optimale D’Ecoulement Des Puissances, Tarek Mesbah
Boukhemis Chetate
Un des baromètres (indicateurs du niveau d’évolution ) de développement d’un pays, est sa consommation en énergie électrique ; dont tout industrie et mode de vie des résidents en dépend. Partant sur ce point capital nous avons organisé la thèse afin de gérer le parc énergétique national d’une manière rationnelle. Cette étude peut servir dans la compréhension et l’analyse approfondie de l’état de la stabilité de notre réseau électrique, qui a montré sa fragilité après l’incident vécu le 03/02/2003, qui a prouvé l’urgence de prendre en charge toutes les insuffisances enregistrées pour éviter que cet incident se reproduise. La thèse …
Optimisation Des Régimes De Fonctionnement D'Un Moteur Asynchrone À Cage Entrainant Une Charge Variable, Malika Louanchi
Optimisation Des Régimes De Fonctionnement D'Un Moteur Asynchrone À Cage Entrainant Une Charge Variable, Malika Louanchi
Boukhemis Chetate
L’objectif de ce travail est l’optimisation du régime de fonctionnement des moteurs asynchrones lorsqu’ils sont sou chargés en minimisant le courant statorique absorbé en régime établit. La minimisation du courant statorique est obtenue en faisant varier la tension d’alimentation. Nous avons initialement procédé à la description et à la modélisation du moteur asynchrone, et à partir d’un schéma équivalent du moteur nous avons établit la relation liant le courant statorique minimal à la tension qui lui correspond. Pour la variation de la tension d’alimentation nous avons opté pour un gradateur triphasé à thyristors et pour un onduleur de tension à …