Optimal Solution to Box Pushing Problem by Using Bbo – Nsgaii
نویسندگان
چکیده
In this paper we have developed a new technique to determine optimal solution to box pushing problem by two robots . Non-Dominated sorting genetic algorithm and Biogeography-based optimization algorithm are combined to obtain optimal solution. A modified algorithm is developed to obtain better energy and time optimization to the box pushing problem.
منابع مشابه
Application of SSSC FACTS Device in Reactive power flow Solution using Biogeography-based optimization
This paper describe the reactive power flow solution based BBO to amend the performance of the power system. Biogeography-based optimization is incorporating flexible AC transmission systems (FACTS). Static Synchronous Series Compensator (SSSC) is type of FACTS device used in this paper. In this BBO Store best parent solution and apply mutation and migration process on remaining parents to prod...
متن کاملFitness Landscape Based Features for Exploiting Black-Box Optimization Problem Structure
We present a robust set of features that analyze the fitness landscape of black-box optimization (BBO) problems. We show that these features are effective for training a portfolio algorithm using Instance Specific Algorithm Configuration (ISAC). BBO problems arise in numerous applications, especially in scientific and engineering contexts. BBO problems are characterized by computationally inten...
متن کاملMulti-objective Optimisation Of Rolling Rod Product Design Using Meta-modelling Approach
Traditional solution methods such as search and sort for optimising complex real life engineering problems can be very expensive in terms of computational time. The considerable execution time tends to inhibit elaborate exploration of the design space and often results to sub-optimal solutions. This paper reports on an engineering optimisation approach designed to bridge the gap between traditi...
متن کاملBox and Jenkins non linear system Modelization using RBF Neural Network designed by NSGAII
The modeling process is to find a parametric model whose dynamic behavior close to that process. This model will be used to make predictions of the process output, or to simulate the process in a control system...etc. In this work we used RBF neural networks for modeling nonlinear systems. Generally the problem in neural networks is often to find a better structure. We propose in this work a me...
متن کاملDistributed Learning with Biogeography-Based Optimization
We present hardware testing of an evolutionary algorithm known as biogeography-based optimization (BBO) and extend it to distributed learning. BBO is an evolutionary algorithm based on the theory of biogeography, which describes how nature geographically distributes organisms. We introduce a new BBO algorithm that does not use a centralized computer, and which we call dis tributed BBO. BBO and...
متن کامل