Describes the design and implementation of an intelligent traffic lights controller based on fuzzy logic technology. A software has been developed to simulate the situation of an isolated traffic junction based on this technology. It is highly graphical in nature, uses the Windows system and allows simulation of different traffic conditions at the junction. A comparison can be made between the ...

Wuzzy, presented in this paper, is a software tool for real-time control in Windows 95 environment. It is suited to assist in the project, development and tuning of controllers, particularly fuzzy ones. It allows simulations and on-line changes of several choices inherent to fuzzy modelling and control systems. Wuzzy includes a parameter controller editor, a membership function editor, a rule ...

the vehicle routing problem with backhauls (vrpb) as an extension of the classical vehicle routing prob-lem (vrp) attempts to define a set of routes which services both linehaul customers whom product are to be delivered and backhaul customers whom goods need to be collected. a primary objective for the problem usually is minimizing the total distribution cost. most real-life problems have othe...

delivering perishable products to customers as soon as possible and with the minimum cost has been always a challenge for producers and has been emphasized over recent years due to the global market becoming more competitive. in this paper a multi-objective mix integer non-linear programming model is proposed to maximize both profits of a distributer and the total freshness of the several produ...

This paper develops an MILP model, named Satisfactory-Green Vehicle Routing Problem. It consists of routing a heterogeneous fleet of vehicles in order to serve a set of customers within predefined time windows. In this model in addition to the traditional objective of the VRP, both the pollution and customers’ satisfaction have been taken into account. Meanwhile, the introduced model prepares a...

In this paper we propose schemes for using learning in video analysis tasks like content based filtering and shot summarization. Shot segmentation is performed by our neuro-fuzzy framework, which extracts fuzzy rules for video segmentation from the trained neuro-fuzzy network. We explore Independent Component Analysis and extract Independent Components that act as features for describing the co...