This paper presents a development of an improved genetic algorithm (IGA) and its application to a least-cost generation expansion planning (GEP) problem. Least-cost GEP problem is concerned with a highly constrained nonlinear dynamic optimization problem that can only be fully solved by complete enumeration, a process which is computationally impossible in a real-world GEP problem. In this pape...

A key factor in determining the likely outcome for a patient with colorectal cancer is whether or not the tumour has metastasised to the lymph nodes-information which is also important in assessing any possibilities of lymph node resection so as to improve survival. In this review we perform a wide-range assessment of literature relating to recent developments in gene expression profiling (GEP)...

Gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs) are heterogeneous tumors that need to be molecularly defined to obtain novel therapeutic options. Forkheadbox protein M1 (FOXM1) is a crucial transcription factor in neoplastic cells and has been associated with differentiation and proliferation. We found that FOXM1 is strongly associated with tumor differentiation and occurrence of met...

Artificial neural network (ANN), pseudo second-order kinetic, and gene expression programming (GEP) models were constructed to predict removal efficiency of Lanaset Red G (LR G) using lentil straw (LS) based on 1152 experimental sets. The sorption process was dependent on adsorbent particle size, pH, initial dye concentration, and contact time. These variables were used as input to construct a ...

In this study, Gene Expression Programming (GEP) is used in modeling the deflection basins measured on the surface of the flexible pavements. Backcalculation of the pavement layer moduli are well-accepted procedures for the evaluation of the structural capacity of pavements. The ultimate aim of the backcalculation process from Nondestructive Testing (NDT) results is to estimate the pavement mat...

AIM To correlate the baseline and change of chromogranin A (CgA) levels with patient survival and tumor response in Asian patients with advanced gastro-enteropancreatic neuroendocrine tumors (GEP-NETs). PATIENTS AND METHODS Sixty patients with advanced GEP-NET treated in a medical center between April 2010 and April 2013 were enrolled retrospectively. Plasma CgA level was analyzed for correla...

This paper describes the application of an evolutionary algorithm, Restart Covariance Matrix Adaptation Evolution Strategy (RCMAES) to the Generation Expansion Planning (GEP) problem. RCMAES is a class of continuous Evolutionary Algorithm (EA) derived from the concept of self-adaptation in evolution strategies, which adapts the covariance matrix of a multivariate normal search distribution. The...

Downlo kground: Although TRIzol is widely used for preservation and isolation of RNA, there is suspicion that ged sample storage in TRIzol may affect array-based gene expression profiling (GEP) through premarmination during reverse transcription. thods: GEP on Illumina arrays compared paired aliquots (cryopreserved or stored in TRIzol) of primary es of multiple myeloma (MM) and acute myeloid le...

Gastroenteropancreatic neuroendocrine tumors (GEP-NETs) are rare, generally indolent neoplasms that can arise throughout the gastrointestinal system. Some GEP-NETs, known as functional, secrete hormones that can lead to a complex of symptoms. Classical carcinoid syndrome is associated with flushing, diarrhea, bronchospasm, and symptoms of valvular heart disease. GEP-NETs are classified accordin...

This paper presents an Election Campaign Optimizat ion (ECO) algorithm for the solution of Generation Expansion Planning (GEP) problem in a competitive electricity market. GEP is one of the important decision-making activities in electric utilit ies and plays a fundamental ro le in the deregulated environment for electricity trading. It is highly constrained non-linear dynamic optimization prob...