Renato Resende Ribeiro de Oliveira

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—This paper presents preliminary results found by a hybrid heuristic applied to solve the Multi-Level Capacitated Lot Sizing Problem (MLCLSP). The proposed method combines a multi-population genetic algorithm and fix-and-optimize heuristic. These methods are also integrated to a mathematical programming approach. For this, a mathematical reformulation of(More)
—The development of Wireless Sensor Networks (WSNs) applications is an arduous task, since the application needs to be customized for each sensor. Thus, the automatic generation of WSN's applications is desirable to reduce costs, since it drastically reduces the human effort. This paper presents the use of Genetic Programming to automatically generate WSNs(More)
The present paper proposes a hybrid version of a compact genetic algorithm (cGA) as approach to solve the Multi-Level Capacitated Lot Sizing Problem. A fix and optimize heuristic is embedded with cGA to improve solutions while mathematical programming technique is used to evaluate them. This hybrid approach is tested over two sets of benchmark instances.(More)
This paper evaluates different parallel approaches for multipopulation genetic algorithm. These approaches are applied to solve a synchronized and integrated lot sizing and scheduling problem. In this problem, the challenge is to simultaneously determine lot sizing and scheduling for raw materials in tanks and products in lines. First, the parallel(More)
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