This paper presents some multidimensional optimization algorithms. By using the "penalty function" method, these algorithms are used to solving an entire class of economic optimization problems. Comparative numerical results of certain new multidimensional optimization algorithms for solving...

ResumenEn la historia del pensamiento económico se identifica a la escuela neoclásica como la línea de análisis de mayor grado de desarrollo epistemológico, y dentro de los principales aportes de esta línea se identifica la conceptualización y aplicabilidad del concepto demanda. En el...

The availability of hourly wind speed data is becoming increasingly important for ensuring the proper design of wind energy conversion systems. For many sites, measured series of such high resolution are incomplete or entirely lacking; hence the need for a model for synthesizing wind speed data.

Water resource management encounters large variety of multi objective problems that require powerful optimization tools in order to fully characterize the existing tradeoffs between various objectives that can be minimizing difference between forecasted physical, chemical, and biological...

The present study first of all concerns the first and second law analyzes of an electrically conducting fluid past a rotating disk in the presence of a uniform vertical magnetic field, analytically via Homotopy Analysis Method (HAM), and then applies Artificial Neural Network (ANN) and Particle...

Surrogate-based optimization proceeds in cycles. Each cycle consists of analyzing a number of designs, fitting a surrogate, performing optimization based on the surrogate, and finally analyzing a candidate solution. Algorithms that use the surrogate uncertainty estimator to guide the selection...

This paper aims to estimate capacity utilization of a liner ship route with a bounded polyhedral container shipment demand pattern, arising in the liner container shipping industry. The proposed maximum and minimum liner ship route capacity utilization problems are formulated as a linear...

This paper presents a new hybrid algorithm based on the Particle Swarm Optimization (PSO) and the Shuffle Frog Leaping algorithms (SFLA) for solving the Optimal Power Flow (OPF) in power systems. In consequence of economical issues and increasing of the social welfare, the OPF problem is turning...

To improve estimation efficiency for future projections, the present study has proposed a hybrid algorithm, Particle Swarm Optimization and Genetic Algorithm optimal Energy Demand Estimating (PSO–GA EDE) model, for China. The coefficients of the three forms of the model (linear, exponential,...