Asian Journal of Electrical Sciences (AJES) is a quarterly international peer-reviewed journal of Electrical Sciences. One of the objectives of this journal is to disseminate knowledge on various research issues connected with the topics include, but are not limited to:

Telecommunications – transmission of information, coax cable, optical fiber or free space, amplitude modulation and frequency modulation, transmitters and receivers, transceiver.
Instrumentation – pressure, flow and temperature, electromagnetic theory, thermocouples, sensors of larger electrical systems, control engineering.
Computers – Computers and computer systems, hardware, software, software engineering.

Power engineering – generation, transmission and distribution of electricity, transformers, electric generators, electric motors, high voltage engineering and power electronics.
Control engineering – dynamic systems, design of controllers, electrical circuits, digital signal processors, microcontrollers and PLCs (Programmable Logic Controllers), industrial automation. Electronic Engineering -Electronic circuits, resistors, capacitors, inductors, diodes and transistors, radio engineering, radar, television, audio systems, computers and microprocessors.
Microelectronics – Electronic circuit, integrated circuit, semiconductor transistors, resistors, capacitors, inductors, Nanoelectronics.

Signal processing – signals, analog, digital, telecommunications, Digital Signal Processing, SDTV | HDTV sets, radios and mobile communication devices, Hi-Fi audio equipments, Dolby noise reduction algorithms, GSM mobile phones, mp3 multimedia players, camcorders and digital cameras, automobile control systems, noise cancelling headphones, digital spectrum analyzers, intelligent missile guidance, radar, GPS based cruise control systems, image processing, video processing, audio processing and speech processing systems.

The paper presents a novel GA/PSO self regulating diesel driven AC induction motor controlled drive system using the common AC-DC-AC bus interface for industrial applications and electric vehicle EV-locomotion. The proposed control scheme utilizes the dual regulation multi loop error driven controller using the novel modified proportional plus integral plus derivative PID structure with the added error rate compensating auxiliary loop. The EV-drive is fed from the AC-DC-AC interface of a six-pulse controlled rectifier –DC link and six-pulse voltage source inverter VSI using a coordinated dual action control scheme for firing angle control. The diesel engine is controlled to ensure dynamic of power demand with dynamic voltage and current tracking. A dynamic error driven control scheme is proposed to regulate the motor current to limit any inrush currents and overloading conditions, in addition to motor speed dynamic reference tracking. The Proposed tri loop dynamic error driven self regulated-tuned controllers are also utilized to ensure dynamic energy efficiency, control loop decoupling, drive stability and the unified system efficient energy utilization while maintaining accurate speed reference tracking. The paperpresents soft-computing application of both Multi Objective Particle Swarm Optimization (MOPSO) and Genetic search MOGA optimization and search techniques for dynamic online gain-tuning to optimally adjust the settings of the proposed controllers.