Md. Nasir

TL;DR: The sensor node deployment task has been formulated as a constrained multi-objective optimization (MO) problem where the aim is to find a deployed sensor node arrangement to maximize the area of coverage, minimize the net energy consumption, maximize the network lifetime, and minimize the number of deployed sensor nodes while maintaining connectivity between each sensor node and the sink node for proper data transmission.

TL;DR: An online, multiobjective optimization (MO) algorithm to efficiently schedule the nodes of a wireless sensor network (WSN) and to achieve maximum lifetime and, in all the tests, MOEA/DFD is observed to outperform all other algorithms.

TL;DR: An energy efficient sensor manager for differentiated coverage of dynamic object group changing their positions with time is presented and a recent variant of a powerful MO algorithm known as Decomposition based Multi-Objective Evolutionary Algorithm (MOEA/D) is used.

TL;DR: This paper deals in designing biometric sensor manager by optimizing the risk and implemented a recent fuzzy dominance based decomposition technique for multi-objective optimization called MOEA/DFD and compared its performance on other contemporary state-of-arts in multi- objective optimization field likeMOEA/D, NSGAII.

TL;DR: A novel and efficient way to design maximally decimated FIR cosine modulated filter banks, in which each analysis and synthesis filter has linear phase, is proposed by using a recently proposed algorithm MOEA/DFD.