A Self-Adaptive Multi-Resources Suppliers System
Dealing with a suppliers/demands system with functional
transportation cost is usually considered as a classical
transportation problem and can be solved with normal linear
programming processes, but what adds to it, when the cost in the
supply points is to be taken into consideration, demands at each
demand point varies with time, and complexity of the whole
system grows. Furthermore, introducing a constant cost to
services and/or transportations, which is the case in several real
distributed systems, makes the model more sophisticated to be
solved. In this case, additional measures prevent us from treating
the model as a classical transportation problem; instead, we have
to search another technique to grant satisfactory results. This
paper proposes an approach that enables a system to autoreconfigure
itself at runtime whenever environmental variables
vary, with the goal of minimizing costs while satisfying the
demands, while taking into consideration the different type of
costs (constant/functional, service/transportation, etc.).
Furthermore, this work aims to build a framework to find the
optimal configuration of services/transportations in a multiresources
suppliers system requiring an auto adaptation facing
the variation of demands. Our proposed framework, called
GATRA, is a combination of the Genetic Algorithms and the
Transportation problem techniques.
Keywords: Mutli-resources Systems, Auto-adaptive, Genetic Algorithm, Transportation Problem
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ABOUT THE AUTHORS
Ihab Sbeity
Computer Science Department, Faculty of Sciences, Lebanese University, LEBANON
Mohammad-Baker Elkalla
Computer Science Department, Faculty of Sciences, Lebanese University, LEBANON
Mohamed Dbouk
Computer Science Department, Faculty of Sciences, Lebanese University, LEBANON
Ihab Sbeity
Computer Science Department, Faculty of Sciences, Lebanese University, LEBANON
Mohammad-Baker Elkalla
Computer Science Department, Faculty of Sciences, Lebanese University, LEBANON
Mohamed Dbouk
Computer Science Department, Faculty of Sciences, Lebanese University, LEBANON