[PDF] Top 20 A HYBRID GENETIC ALGORITHM FOR A BI-OBJECTIVE SCHEDULING PROBLEM IN A FLEXIBLE MANUFACTURING CELL

... on scheduling jobs in ...shared flexible manufacturing ...of flexible systems that tools in terms of cost reduction policy play a major ...heuristic algorithm based on the filtered beam ... See full document

... countries, manufacturing industries pay stratified electricity charges depending on the time of the day ( ...machine scheduling problems, Moon et ...sum objective of production scheduling and ... See full document

... partial flexible manufacturing system (PFMS) has pushed through the limitation of traditional way of process-based processing, allowing the same product to be processed simultaneously on several processing ... See full document

... a hybrid algorithm for the Flexible Job-Shop Scheduling Problem ...This problem involves the optimal use of resources in a flexible production environment in which each ... See full document

... shop problem where the machines are not continuously ...decoding-based genetic algorithm (SGA) was employed for minimizing makespan for a hybrid flow shop scheduling problem with ... See full document

... bicriteria scheduling problem connected with the glass bottles production where the shop was made up of unrelated parallel machines and the aim was to compute a schedule of orders, which maximizes the total ... See full document

... Job-shop scheduling problem is one of the most important fields in manufacturing optimization where a set of n jobs must be processed on a set of m specified ...The Flexible Job Shop ... See full document

... and flexible job-shop scheduling problem, and optimized two manufacturing systems ...MOICA algorithm provided efficient solutions, based on two performance ... See full document

... The objective was to obtain a sequence so that the total weighted completion time is ...memetic algorithm by integrating a general multi-objective evolutionary algorithm with a ... See full document

... in scheduling purpose especially in flow shop production to obtain a complete ...and flexible problem representation where the environment of the problem can be simply ... See full document

... the algorithm converges to the best chromosome, which hopefully represents the optimal solution of the ...this algorithm also depends on the fitness function. A hybrid genetic algorithm ... See full document

... Manpower scheduling is a managerial process that contains the analysis of human resources requirement of an organization in variable ...manpower scheduling is to seek the shift rosters that conform to ... See full document

... The strategy for preserving elites is: first, if the elite individuals participate and the new solutions dominate part of the elite population solutions, wipe off the dominated solutions and add some new solutions. After ... See full document

... Salesman Problem (ATSP), and developed two metaheuristics which comprises of three ...large problem instances and simulation results demonstrated that the proposed metaheuristic outperform over all existing ... See full document

... Dendritic Cell Algorithm”. This is a novel immune -inspired algorithm based on the function of the dendritic cells of the human immune ...crucial cell in the detection and combination of ... See full document

... a problem for mangers, which when studied carefully produces a variety of conflicting objectives to optimize ...multi objective genetic algorithm, NSGA-II to optimize a multi-product, ... See full document

... of hybrid manufacturing process, combining subtractive and additive process on single final part, is ...additive manufacturing process, novel algorithm with belonging software OMOS is ...OMOS ... See full document

... Genetic algorithm is a most adaptive optimization search methodologies based on machine of natural genetics, natural selection and survival of fitness in biologica l ...the objective function of ... See full document

... the scheduling problem in a single-machine environment with the objective of minimizing the total weighted completion times of the first agent while the makespan of the second agent was ...bound ... See full document

... This problem considers backlogs as the main feature to be optimized since the penalty for not supplying the demand for one or more lot of products implies in large ...the objective function 1 by just adding ... See full document