Abstract Traditionally, most investment tools used to predict stocks are based on quantitative variables, such as finance and capital flow. With the widespread impact of Internet, investors institutions designing strategies also referring online comments discussions. However, multiple information sources, along with uncertainties accompanying international political economic events recent pande...

GA genetic algorithm HGA hybrid genetic algorithm SA simulated annealing algorithm ACO ant colony optimization TS tabu search IA immune algorithm GDA great deluge algorithm CEA cellular evolutionary approach NN neural network NFT near feasible threshold UGF universal generating function MSS multi-state system RB/i/j recovery block architecture that can tolerate i hardware and j software faults ...

This paper presents a Heuristic Genetic Algorithm (HGA) for optimizing three dimensional (3D) arbitrary sized heterogeneous boxes into a container, by considering practical constraints facing in the shipment container loading industries. Objective of this research is to pack heterogeneous boxes of varying length, width and height into a container of standard dimension, without violating major p...

An adaptive technique adopting hierarchical genetic algorithms (HGA) for wideband antenna impedance tuning is presented in the paper. Three simulation examples are given for GSM, UMTS and both standards, with different types of antenna impedance. The frequency range of the dual standards is from 1.7 to 2.2GHz. Simulation results show that the proposed tuning technique can achieve good accuracy ...

This paper presents a Hybrid Genetic Algorithm (HGA) Particle Swarm Optimization (PSO) approach to solve Economic Emission Optimal Power Flow problem. The proposed approach optimizes two conflicting objective functions namely, fuel cost minimization and emission level minimization of polluted gases namely NOX, SOX and COx simultaneously while satisfying operational constraints. An improved PSO ...

The aim of the relay coordination is that protection systems detect and isolate the faulted part as fast and selective as possible. On the other hand, in order to reduce the fault clearing time, distance protection relays are usually equipped with pilot protection schemes. Such schemes can be considered in the distance and directional overcurrent relays (D&DOCRs) coordination to achieve faster ...

The majority of the research using evolutionary algorithms for the Job Shop Scheduling Problem (JSSP) has studied only the static JSSP. Few evolutionary algorithms have been applied to the Dynamic Job Shop Scheduling Problem (DJSSP) which is more similar to real-world applications. We implement a hybrid genetic algorithm for solving the dynamic job shop problem. A direct chromosome representati...

A variety of Genetic Algorithms for the static Job Shop Scheduling Problem have been developed using various methods: direct vs. indirect representations, pure vs. hybrid GA's and serial vs. parallel GA's. We implement a hybrid GA, called OBGT, for solving the static Job Shop Scheduling Problem. A chromosome representation containing the schedule itself is used and order-based crossover operato...

The majority of the research using evolutionary algorithms for the Job Shop Scheduling Problem (JSSP) has studied only the static JSSP. Few evolutionary algorithms have been applied to the Dynamic Job Shop Scheduling Problem (DJSSP) which is more similar to real-world applications. We implement a hybrid genetic algorithm for solving the dynamic job shop problem. A direct chromosome representati...