In the present article we propose two novel variants of Differential Evolution (DE) namely Centroid Differential Evolution (CDE) and Differential Evolution with local Search (DELS) for solving unconstrained, single objective, optimization problems. Both the algorithms make use of geometric centroid to enhance the performance of basic DE in terms of average fitness function value as well as in t...

Differential evolution (DE) is arguably one of the most powerful stochastic real-parameter optimization algorithms in current use. DE operates through similar computational steps as employed by a standard evolutionary algorithm (EA). Over the last few decades, a number of Differential Evolution (DE) algorithms have been proposed with excellent performance on mathematical benchmarks. However, li...

BACKGROUND Disparities in the global availability of operating theatres, essential surgical equipment and surgically trained providers are profound. Although efforts are ongoing to increase surgical care and training, little is known about the surgical capacity in developing countries. The aim of this study was to create a baseline for surgical development planning at a national level. METHOD...

Despite the longstanding recognition of the importance of product assortment planning (PAP), existing literature has failed to provide satisfactory solutions to a great deal of problems that reside in this area of research. The issue of optimal assortment planning in the retail sector becomes even more important in periods of economic crisis, as retailers must adapt their product portfolios to ...

The reactive power planning and dispatch problems have been solved using Genetic algorithm (GA), Differential evolution (DE) and Particle Swarm Optimization (PSO) technique in order to have a comparative study on the performance of these algorithms. It has been found that Differential evolution performs best followed by the Particle swarm optimization. Both DE and PSO can perform well even with...

Determining the optimal location of wells with the aid of an automated search algorithm is a significant and difficult step in the reservoir development process. It is a computationally intensive task due to the large number of simulation runs required. Therefore,the key issue to such automatic optimization is development of algorithms that can find acceptable solutions with a minimum numbe...

Background: Disparities in the global availability of operating theatres, essential surgical equipment and surgically trained providers are profound. Although efforts are ongoing to increase surgical care and training, little is known about the surgical capacity in developing countries. The aim of this study was to create a baseline for surgical development planning at a national level. Methods...

BACKGROUND In Canadian hospitals, which are typically financed by global annual budgets, overuse of operating rooms is a financial risk that is frequently managed by cancelling elective surgical procedures. It is uncertain how different scheduling rules affect the rate of elective surgery cancellations. METHODS We used discrete event simulation modelling to represent perioperative processes a...

OBJECTIVE Every year, 230 million patients undergo major general surgery with anaesthesia worldwide, and 7 million resulted with major complications. Monitorisation and equipment has a great role in increasing patient safety and safe surgery during anaesthesia. METHODS Turkey is divided into 12 Eurostut-NUTS regions and 26 subregions statistically. Totally, 303 hospitals that are included in ...