The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Automated decision-making techniques have been proposed to support engineers in selecting and prioritising requirements. However, to be effectively used in practice they need to be integrated into the organisational context, and their users, namely the members of the development team, and more generally the project's stakeholders, need to be engaged in the resulting tool-supported decision-making...
A systematic framework for solving multiobjective optimization problems (MOPs) is proposed. A physical problem with multiple objectives is first transformed into an MOP. Multiobjective evolutionary algorithms are then applied. By solving the MOP, a set of Pareto optimal solutions and an approximate Pareto front can be obtained. To select a final solution, multicriteria decision making approaches are...
The paper deals with generation of new hybrid algorithms based on the bioinspired search methods. Subsystem architecture involves a data management module and a module of automation of new search procedures generation. This module is found on genetic search and genetic programming mechanisms. The authors suggest a new approach for description of the data structure based on the XML. As a result it...
The management of Sri Lankan school and club level cricket board faces the challenge of dealing with match statistics in match analysis using manual methods. The analysis of previous cricket matches is time consuming and messing up due to lack of technology. The aim of this research is to upgrade the Sri Lankan school cricket with the blend of information technology to solve the existing problems...
The use of optimization to solve a simulation-based multi-objective problem produces a set of solutions that provide information about the trade-offs that have to be considered by the decision maker. An incomplete or sub-optimal set of solutions will negatively affect the quality of any subsequent decisions. The parameters that control the search behavior of an optimization algorithm can be used to...
This paper presents a novel power flow optimization strategy in Micro Grids (MGs) connected to the main grid. When the MG includes stochastic energy sources, such as photovoltaic and micro eolic-generators, it is very useful to rely on Energy Storage Systems (ESSs) to buffer energy. In fact, an ESS can be employed to perform several functionalities, related to different user requirements, such as...
Maintenance service delivery for large-scale equipment has been studied for decades and is becoming a crucial way for equipment manufacturers to obtain profit and competitiveness. To delivery maintenance service, equipment manufacturers need to optimal delivery plans with considering of various constraints (e.g. maintenance policy, service capacities, service costs) as well as maintenance type. This...
We consider a parallel distributed decision fusion system consisting of a bank of local sensors and a fusion center. Each local sensor makes binary decisions based on its own observations. The decision is to accept one of the hypotheses, H0 or H1. Each local sensor transmits its decisions to the fusion center over an error free channel. The fusion center combines all the local decisions to obtain...
The intelligent adaptive agent designed in this paper focuses on finding the best configuration of a robot that needs to make a decision in order to fulfil a task, using a genetic algorithm for reasoning and behaviour generation. This intelligent control system can run locally, on the robot's platform, or globally, if the agent is a supervisor that assigns tasks to robots under its control. The robot's...
In multiobjective optimization problem, a substantial number of solutions generated along the Pareto front are unacceptable to the decision maker. In this paper, we propose a variation of the concept of Pareto dominance by using a penalty based Multi Objective Genetic Algorithm which attempts to obtain the nondominated set of Pareto solutions within the acceptable region for decision maker. A Relenting...
In flat glass production, glass products of various sizes and quality classes are cut from a continuously moving glass ribbon. If a product is placed on a part of the glass ribbon that has more defects than allowed by that product's quality class, it is discarded as scrap. Scrap glass is sent back to the furnace to be recycled. This process creates additional production costs and reduces the productivity...
An optimal design of Adaptive Neuro-Fuzzy Inference System (ANFIS) traffic signal controller is presented in this paper. The proposed controller aims to adjust a set of green times for traffic lights in a single intersection with the purpose of minimizing travel delay time and traffic congestion. The ANFIS controller is trained, to learned how to set green times for each traffic phase. This intelligent...
Decision making and/or Decision Support Systems (DSS) using intelligent techniques like Genetic Algorithm and fuzzy logic is becoming popular in many new applications. Combining these techniques provides an enhanced capability of any decision support systems (DSS. This paper discusses a modular approach toward implementing Genetic Fuzzy system termed as “Genetic Fuzzimetric Technique” (GFT). The technique...
This paper proposed a concept of the multi-agent neural network, where neurons are agents of the multi-agent system. Each agent has a decision-making system that rests upon the system of production rules. A multi-chromosome genetic algorithm was developed. This algorithm allows to train a multi-agent neural network simultaneously by several parameter classes of the target function. Efficiency of the...
Data mining is a knowledge discovery process which deals with the broad process of finding knowledge in data analyzing large storage of data in order to identify the relevant data. It is a powerful tool to uncover relationships within the data. Business intelligence (BI), is a distinctive term that refers to a lot of software applications, it is normally used to investigate a company's raw data for...
There is growing in interest in the effectiveness of emulating human decision making and learning in modern aerospace applications. The following is an examination of several applications in which type 1 and 2 fuzzy logic has been utilized in artificial intelligence and machine learning problems to demonstrate their capabilities. In Fuzzy Logic Inferencing for PONG (FLIP), the effectiveness of type...
Pervasive cloud computing heavily depends on task migrations in order to mitigate resource scarceness in some cloud nodes, especially the light weight nodes. In order to make decisions on task migrations, a number of possibly conflicting objectives should be considered, such as less energy consumption, quick response, in order to find an optimal migration path and optimal configurations. In this paper,...
Fuzzy programming approach has wide application in many fields such as project management, multi-attribute decision making, and comprehensive evaluation. Its solving methods have attracted many attentions. In this paper we present a new approach, based on the genetic algorithm, for dealing with a programming problem with fuzzy-valued objective function and constraints. Firstly, we propose the concept...
Extended Finite State Machine (EFSM) is a popular formal specification which is widely used to describe states and actions of software system. Automated test generation on EFSM model is difficult due to the existence of the context variables. Multi-Population Genetic Algorithm (MPGA) is a novel heuristic search algorithm which is introduced to automatically generate test data for transition paths...
The purpose of this research is to search for the best (highest performing) risk profile of agents who successively choose among risky prospects. An agent's risk profile is his attitude to perceived risk, which can vary from risk preferring to risk neutral (an expected-value decision maker) to risk averse. We use the Genetic Algorithm to search in the complex stochastic space of repeated lotteries...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.