By integrating artificial bee colony and genetic algorithm, a novel hybrid swarm intelligent approach is proposed in this paper. The main idea of the approach is to obtain the parallel computation merit of GA and the speed and self-improvement merits of ABC by sharing information between GA population and bee colony. To exam the proposed method, it is applied to 4 benchmark functions for differ...

Two major emerging automotive technologies are the continued development of hybrid-electric drivetrains and telematics-enabled (or ‘intelligent’) vehicles capable of garnering and utilizing information about the traffic environment in which the vehicles are operating. The significant costs of each of these technologies are located internal to the vehicle (i.e. the powertrain) in the former case...

One of the most significant and effective criteria in the process of cutting dimensional rocks using the gang saw is the maximum energy consumption rate of the machine, and its accurate prediction and estimation can help designers and owners of this industry to achieve an optimal and economic process. In the present research work, it is attempted to study and provide models for predicting the m...

Many heuristic-based approaches have been applied to finding schedules that minimize the execution time of computing tasks on parallel processors. Particle Swarm Optimization is currently employed in several optimization and search problems due its ease and ability to find solutions successfully. A variant of PSO, called as Improved PSO has been developed in this paper and is hybridized with th...

This paper presents a systematic ap­proach for the design and implementation of temperature controller us­ing Intelligent Fuzzy-PID Hybrid Controller for Temperature control in Process Industry. The proposed approach employs PID based intelligent fuzzycontroller for determination of the optimal results than PID con­troller parameters for a previously identified process plant. Results indicate t...

Techniques and models for mitigating risk in software development projects classified into three categories–namely, qualitative, quantitative, and intelligent approaches. This paper is to review the quantitative and intelligent risk models in software risk management for software development projects. Indeed, this area needs more effort from scholars and researchers in quantitative and intellig...