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...

a novel approach to determine optimal sampling locations under parameter uncertainty in a water distribution system (wds) for the purpose of its hydraulic model calibration is presented. the problem is formulated as a multi-objective optimisation problem under calibration parameter uncertainty. the objectives are to maximise the calibrated model accuracy and to minimise the number of sampling d...

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...

Multi-label spatial classification based on association rules with Multi objective genetic algorithms (MOGA) is proposed to deal with multiple class labels problem which is hard to settle by existing methods. In this paper we adapt problem transformation for the Multi label classification. We use Hybrid evolutionary algorithm for the optimization in the generation of spatial association rules, ...

This paper proposes a new Multiobjective Genetic Algorithm (MOGA) approach for Bicriteria Network Design (BND) Problem. The objectives are to maximize flow and minimize cost. The proposed method adopts priority-based encoding method to represent a path in the network. Different from other encoding methods, such as path oriented encoding method, priority-based encoding method can be applied for ...

Flexible job-shop scheduling problem (FJSP) is an extended traditional job-shop scheduling problem, which more approximates to practical scheduling problems. This paper presents a multi-objective genetic algorithm (MOGA) based on immune and entropy principle to solve the multiobjective FJSP. In this improved MOGA, the fitness scheme based on Pareto-optimality is applied, and the immune and entr...

Solar pond is a device which entraps the impinging solar radiation and stores it as thermal energy in its salty layers. Simple salt gradient solar pond consists of three basic layers: lower convective zone, non-convective zone and last is upper convective zone. In present study a simple working experimental setup of salt gradient solar pond was fabricated equipped with thermo siphon heat exchan...

The applicably of multi-objective optimization to ellipsometric data analysis is presented and a method to handle complex ellipsometric problems such as multi sample or multi angle analysis using multi-objective optimization is described. The performance of a multi-objective genetic algorithm (MOGA) is tested against a single objective common genetic algorithm (CGA). The procedure is applied to...

Genetic Algorithm (GA) mimics natural evolutionary process. Since dying of an organism is important part of natural evolutionary process, GA should have some mechanism for dying of solutions just like GA have crossover operator for birth of solutions. In nature, occurrence of event of dying of an organism has some reasons like aging, disease, malnutrition and so on. In this work we propose thre...

Classification problem is one of the wellstudied problems in machine learning. By supervised way we can solve it. First step is the generation of IF-THEN rules at the learning phase from records where class is known. Second step is to use those rules to classify records where class is not known. In this article we are using real coded multi objective genetic algorithms (MOGAs) for generating a ...