Abstract When investing in new stocks, it is difficult to predict returns and risks a general way without the support of historical data. Therefore, portfolio optimization model with an uncertain rate return proposed. On this basis, prospect theory used for reference, then established from perspective expected utility maximization. An improved gray wolf (GWO) algorithm designed because complex ...

Received Jun 19, 2017 Revised Aug 15, 2017 Accepted Sep 7, 2017 This manuscript presents a feeder reconfiguration in primary distribution networks with an objective of minimizing the real power loss or maximization of power loss reduction. An optimal switching for the network reconfiguration problem is introduced in this article based on step by step switching and simultaneous switching. This p...

The efficiency of a photovoltaic (PV) system under partial shading conditions (PSCs) is primarily determined by how the PV panels are connected to load. Various architectures have been developed improve power processing capability and thus conversion efficiency. In this article, central string architecture considered, performance characteristics obtained using optimization techniques such as gr...

A modified variant of gray wolf optimization algorithm, namely, mean gray wolf optimization algorithm has been developed by modifying the position update (encircling behavior) equations of gray wolf optimization algorithm. The proposed variant has been tested on 23 standard benchmark well-known test functions (unimodal, multimodal, and fixed-dimension multimodal), and the performance of modifie...

In this study, a new predictive framework is proposed by integrating an improved grey wolf optimization (IGWO) and kernel extreme learning machine (KELM), termed as IGWO-KELM, for medical diagnosis. The proposed IGWO feature selection approach is used for the purpose of finding the optimal feature subset for medical data. In the proposed approach, genetic algorithm (GA) was firstly adopted to g...

Economic load dispatch (ELD) provides significant benefits to the operation of power system. It appears be a complex nonconvex optimization problem subject several equal and unequal constraints. The greedy sine-cosine nonhierarchical gray wolf optimizer (G-SCNHGWO) is introduced in this study solve ELD problems efficiently robustly. sine cosine functions assist search agents grey (GWO) algorith...

Real World is filled with various hard and complex problems. One such complex problem is an optimization problem. Optimization has been an active area of research for several decades. . Optimized solutions are hard to find so there are no deterministic algorithms that can find exact solution in polynomial time. In large domain of applications of intelligence techniques we are interested in expl...

Presently, the introduction of intelligent models to optimize structural problems has become an important issue in civil engineering and almost all other fields of engineering. Optimization models in artificial intelligence have enabled us to provide powerful and practical solutions to structural optimization problems. In this study, a novel method for optimizing structures as well as solving s...