Fuzzy Linear Programming models and methods has been one ofthe most and well studied topics inside the broad area of Soft Computing. Itsapplications as well as practical realizations can be found in all the real worldareas. In this paper a basic introduction to the main models and methods infuzzy mathematical programming, with special emphasis on those developedby the authors, is presented. As ...

This paper addresses a green capacitated vehicle routing problem that accounts for transportation emissions. A Dynamic Programming approach has been used to formulate the problem. Although small-sized problems can be solved by Programming, this is infeasible larger due curse of dimensionality. Therefore, we propose based solution involves ideas restriction, simulation and online control paramet...

a real-time optimization (rto) strategy incorporating the fuzzy sets theory is developed, where the problem constraints obtained from process considerations are treated in fuzzy environment. furthermore, the objective function is penalized by a fuzzified form of the key process constraints. to enable using conventional optimization techniques, the resulting fuzzy optimization problem is then re...

in this paper, convex semi-infinite programming is converted to an optimal control model of neural networks and the optimal control model is solved by iterative dynamic programming method. in final, numerical examples are provided for illustration of the purposed method.

The Automated Wet-etch Station (AWS) is one of the most critical stages of a modern semiconductor manufacturing system (SMS), which has to simultaneously deal with many complex constraints and limited resources. Due to its inherent complexity, real-world automated wet-etch station scheduling problems are very difficult to solve using traditional mathematical formulations. Thus, heuristic, metah...

projects scheduling by the project portfolio selection, something that has its own complexity and its flexibility, can create different composition of the project portfolio. an integer programming model is formulated for the project portfolio selection and scheduling.two heuristic algorithms, genetic algorithm (ga) and simulated annealing (sa), are presented to solve the problem. results of cal...

This work was supported by the National Science Foundation under grant ECS-9904378. Abstract: In this paper we show the applicability of the Dual Heuristic Programming (DHP) method of Approximate Dynamic Programming to parameter tuning of a fuzzy control system. DHP and related techniques have been developed in the neurocontrol context but can be equally productive when used with fuzzy controll...

Exploiting locality is a central goal of translating problem-oriented parallel programming languages for distributed memory parallel machines. Modula-2* places the burden of automatically deriving good data and process distribution on the compiler. In this paper we present a technique implemented in our optimizing compiler that enhances locality in a source-to-source transformation. Analysis of...