Capability Maturity Model Integration (CMMI) helps organizations to improve software development processes. But it contains very little information on process dynamics. It doesn’t address the following issues like Specific tools, methods and technologies to be followed, Issues in Human resource management, People management methodology and cost attached to people manager. In this paper we focus...

This paper presents an intelligent method based on multiuobjective genetic algorithm (MOGA) for prediction of limit cycle in multivariable nonlinear systems. First we address how such the systems may be investigated using the Single Sinusoidal Input Describing Function (SIDF) philosophy. The extension of the SIDF to multi loop nonlinear systems is presented. For the class of separable nonlinear...

Neoteric phenomena such as climate change, scarce water availability and excessive fertilizer usage necessitate an augmentation of resource utilisation efficiencies in the agricultural sector. There is a need to reorient agroecosystems curb stress on environmental resources while meeting rising socio-economic objectives under changing hydro-climatic conditions. Considering this, optimal land al...

Abstract Edge computing extends traditional cloud services to the edge of network, closer users, and is suitable for network with low latency requirements. With rise computing, its security issues have also received increasing attention. In this paper, a novel two-phase cycle algorithm proposed effective cyber intrusion detection in based on multi-objective genetic (MOGA) modified back-propagat...

Capability Maturity Model Integration (CMMI) helps organizations to improve software development processes. But it contains very little information on process dynamics. It doesn‟t address the following issues like Specific tools, methods and technologies to be followed, Issues in Human resource management, People management methodology and cost attached to people manager. In this paper we focus...

Ideally, the solution to job-shop scheduling problem (JSP) should effectively reduce cost of manpower and materials, thereby enhancing core competitiveness manufacturer. Deep learning (DL) neural networks have certain advantages in handling complex dynamic JSPs with a massive amount historical data. Therefore, this paper proposes model based on DL. Firstly, data prediction was established for s...

Abstract This paper aims to improve summer power generation of the Yeywa Hydropower Reservoir in Myanmar using modified multi-step ahead time-varying hedging (TVH) rule as a case study. The results TVH rules were compared with standard operation policy (SOP) rule, binary (BSOP) discrete (DH) (SH) one-point (OPH) and two-point (TPH) rule. Multi-Objective Genetic Algorithm (MOGA) was utilized dri...

Multiple objective genetic algorithms (MOGA) are heuristics that have seen relatively little use in geographic information science and spatial decision support in comparison to other geocomputational methods, despite their potential to generate robust alternative options for decision making. MOGA based decision analysis relieves the burden of a priori preference specification by an analyst, but...

Scheduling of real-time tasks on a multi-processor system is an NP-hard problem. This paper aims to propose an algorithm based on multi-objective GA (MOGA) for scheduling of static soft real-time tasks on a heterogeneous multi-processor system when the real-world constraints including the precedence relationship between tasks, different arrival time for each task as well as communication delays...

Optimal sewer design aims to minimize capital investment on infrastructure whilst ensuring a good system performance under specific design criteria. One of the state-of-the-art optimization techniques for this problem is the Genetic Algorithm (GA), which is commonly combined with a sewer hydraulic simulator during the optimization. However, this approach can be prohibitively time-consuming espe...