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A 2-Dimensional Model of Polynomial Type for Oscillatory ATM-Wip1 Dynamics in p53 Network
(IEEE, 2017)Under gamma irradiation, p53 gene regulatory network is able to exhibit three different modes, namely low state, oscillations, and high state. There are experimental studies demonstrating that oscillatory behaviour of p53 ... -
A 2-dimensional Reduced Oscillator Model with Rational Nonlinearities for p53 Dynamics
(IEEE, 2017)p53 tumour suppressor network plays the key role in DNA damage response of the cell. We present a comprehensive 2-dimensional oscillator model for p53 network dynamics. The model is reduced from the known 17-dimensional ... -
A Combined Technology for Wildfire Detection Using HS/RF
(IEEE, 2009)This paper addresses an effective early detection system of wildfires using high resolution images from low-light sensitive cameras linked to an innovative HS/RF (High Speed/Radio Frequency) communications grid. Using data ... -
A Comparison of Feature Selection Algorithms for Cancer Classification Through Gene Expression Data: Leukemia Case
(IEEE, 2017)In this study, three different feature selection algorithms are compared using Support Vector Machines as classifier for cancer classification through gene expression data. The ability of feature selection algorithms to ... -
A Computational Intelligence Decision-Support Environment for Architectural and Building Design: CIDEA
(IEEE, 2016)Environmentally friendly and comfortable buildings are a much sought after goal in today's architectural practice. In order to improve energy consumption of buildings without sacrificing indoor comfort, careful consideration ... -
A Differential Evolution Algorithm for the Economic Lot Scheduling Problem
(IEEE, 2011)In this study we provide a Differential Evolution (DE) based heuristic to solve the Economic Lot Scheduling Problem (ELSP) under basic period approach. The problem is to find the best cyclic production schedule of n items ... -
A Differential Evolution Algorithm for the Median Cycle Problem
(IEEE, 2011)This paper extends the applications of differential evolution algorithms to the Median Cycle Problem. The median cycle problem is concerned with constructing a simple cycle composed of a subset of vertices of a mixed graph. ... -
A Differential Evolution Algorithm with Variable Neighborhood Search for Multidimensional Knapsack Problem
(IEEE, 2015)This paper presents a differential evolution algorithm with a variable neighborhood search to solve the multidimensional knapsack problem. Unlike the studies employing check and repair operators, we employ some sophisticated ... -
A Discrete Artificial Bee Colony Algorithm for the Assignment and Parallel Machine Scheduling Problem in DYO Paint Company
(IEEE, 2014)This paper presents a discrete artificial bee colony algorithm to solve the assignment and parallel machine scheduling problem in DYO paint company. The aim of this paper is to develop some algorithms to be employed in the ... -
A Discrete Artificial Bee Colony Algorithm For the Economic Lot Scheduling Problem
(IEEE, 2011)In this study we present a discrete artificial bee colony (DABC) algorithm to solve the economic lot scheduling problem (ELSP) under extended basic period (EBP) approach and power-of-two (PoT) policy. In specific, our ... -
A Discrete Artificial Bee Colony Algorithm for the Economic Lot Scheduling Problem with Returns
(IEEE, 2014)In this study, we model the Economic Lot Scheduling problem with returns (ELSPR) under the basic period (BP) policy with power-of-two (PoT) multipliers, and solve it with a discrete artificial bee colony (DABC) algorithm. ... -
A Discrete Artificial Bee Colony Algorithm for the Permutation Flow Shop Scheduling Problem with Total Flowtime Criterion
(IEEE, 2010)Very recently, Jarboui et al. [1] (Computers & Operations Research 36 (2009) 2638-2646) and Tseng and Lin [2] (European Journal of Operational Research 198 (2009) 84-92) presented a novel estimation distribution algorithm ... -
A Discrete Artificial Bee Colony Algorithm for the Permutation Flowshop Scheduling Problem with Sequence-Dependent Setup Times
(IEEE, 2016)A discrete artificial bee colony ( DABC) algorithm for the permutation flowshop scheduling problem with sequence-dependent setup times (PFSP-SDST) is presented in this paper. PFSP-SDST is an important problem that has ... -
A Discrete Artificial Bee Colony Algorithm for the Team Orienteering Problem with Time Windows
(IEEE, 2013)This paper presents a discrete artificial bee colony algorithm (DABC) for solving the team orienteering problem with time windows (TOPTW). The proposed algorithm employs a destruction and construction procedure to generate ... -
A Discrete Artificial Bee Colony Algorithm for the Traveling Salesman Problem with Time Windows
(IEEE, 2012)This paper presents a discrete artificial bee colony algorithm (DABC) for solving the traveling salesman problem with time windows (TSPTW) in order to minimize the total travel cost of a given tour. TSPTW is a difficult ... -
A Discrete Harmony Search Algorithm for the Economic Lot Scheduling Problem with Power of Two Policy
(IEEE, 2012)In this paper, we present a problem specific discrete harmony search (DHS) algorithms to solve the economic lot scheduling problem (ELSP) under the extended basic period (EBP) approach and power-of-two (PoT) policy. In ... -
A Dual Circularly Polarized Omnidirectional Receiver Antenna for Satellite Communication
(IEEE, 2017)This study describes about an omnidirectional antenna for satellite communication applications possessing dual circular polarization at almost over the full azimuth plane and wide elevation plane. The antenna does not use ... -
A Framework Model for Data Reliability in Wireless Sensor Networks
(IEEE, 2016)In this study a model for data reliability in wireless sensor networks is proposed, in which machine learning methods are used. Proposed framework includes data modelling, missing data prediction, anomaly detection, data ... -
A General Variable Neighborhood Search for the No-Idle Flowshop Scheduling Problem with Makespan Criterion
(IEEE, 2019)This paper proposes a novel general variable neighborhood search (GVNS) algorithm to solve the no-idle flowshop scheduling problem with the makespan criterion. The initial solution of the GVNS is generated using the FRB5 ...