Bilevel Parallel Genetic Algorithms for Optimization of Large Steel Structures

Abstract

This article is concerned with optimization of very large steel structures subjected to the actual constraints of the American Institute of Steel Construction ASD and LRFD specifications on high-performance multiprocessor machines using biologically inspired genetic algorithms. First, parallel fuzzy genetic algorithms (GAs) are presented for optimization of steel structures using a distributed memory Message Passing Interface (MPI) with two different schemes: the processor farming scheme and the migration scheme. Next, two bilevel parallel GAs are presented for large-scale structural optimization through judicious combination of shared memory data parallel processing using the OpenMP Application Programming Interface (API) and distributed memory message passing parallel processing using MPI. Speedup results are presented for parallel algorithms.

Progressive preference articulation for decision making in multi-objective optimisation problems

“…Interactive design with reference to steel structure design is achieved by integrating fuzzy logic into the constraint handling in [58,57]. In order to handle large steel structures the algorithm proposed in [59] expands the previous the two studies above in a parallel fashion. This paper proposes a novel progressive preference articulation mechanism for multi-objective optimisation problems.…”

Risk Identification Method for Cloud Computing Safety based on LSA-GCC and LSA-SAM

“…The algorithm implemented based on MapReduce framework can be expanded to large-scale clusters, without changing any code. This is highly beneficial for the solution to problems of variable scale, especially in the case of processing mass data [10,11,12].…”

“…So, we have: (10) It is assumed that in MR-LSA-GCC there is (are) m virtual machine (s) to conduct LSA-GCC algorithm as slave nodes, hence there is Ts=m*Tmap. Accordingly, there is: It can be observed from the formula that the acceleration rate of MR-LSA-GCC depends on the time of conducting LSA-GCC algorithm.…”

Developing Crew Allocation System for the Precast Industry Using Genetic Algorithms

“…al., 2001). In this study, only direct cost is considered as a substantial cost and GAs have been used productively in a number of studies in order to optimize costs Adeli 2001, Sarma andAdeli 2002).…”