S. G. Ponnambalam

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In this paper, a multi-objective genetic agorithm to solve assembly line balancing problems is proposed. The performance criteria considered are the number of workstations, the line efficiency, the smoothness index before trade and transfer, and the smoothness index after trade and transfer. The developed genetic algorithm is compared with six popular(More)
In this paper, a particle swarm optimization (PSO) algorithm is proposed to solve machine loading problem in flexible manufacturing system (FMS), with bicriterion objectives of minimizing system unbalance and maximizing system throughput in the occurrence of technological constraints such as available machining time and tool slots. A mathematical model is(More)
Swarm robotics is a new approach to the coordination of multi-robot systems which consist of large numbers of relatively simple robots which takes its inspiration from social insects. The most remarkable characteristic of swarm robots are the ability to work cooperatively to achieve a common goal. In this paper, classification of existing researches,(More)
A machine loading problem in flexible manufacturing system (FMS) is discussed with bicriterion objectives of minimizing system unbalance and maximizing system throughput in the occurrence of technological constraints such as available machining time and tool slots. An efficient evolutionary algorithm by hybridizing the genetic algorithm (GA) and simulated(More)
In the context of manufacturing systems, scheduling refers to allocation of resources over time to perform a set of operations. Manufacturing systems scheduling has many applications ranging from manufacturing, computer processing, transportation, communication, health care, space exploration, education, distribution networks, etc. Scheduling is a process(More)
Scheduling involves the allocation of resources over a period of time to perform a collection of tasks (Baker, 1974). It is a decision-making process that plays an important role in most manufacturing and service industries (Pinedo, 2005). Scheduling in the context of manufacturing systems refers to the determination of the sequence in which jobs are to be(More)
As different region of the brain is associated with different mental activity, channel selection is commonly used to enhance the performance of multi-electrode electroencephalography (EEG) system by removing task-irrelevant and redundant channels. Various channel selection methods are successfully implemented in Brain–Computer Interface (BCI) system that(More)
This paper presents a method of applying particle swarm optimization (PSO) algorithm to a flow shop scheduling problem. Permutation encoding of job indices is used to represent particles. One particle of the initial swarm is generated using NEH heuristic (M. Nawaz, Jr., 1995) and the remaining particles are generated randomly. A continuous swap mechanism is(More)