Name
Title | ||
|---|---|---|
A nature-inspired multi-objective optimisation strategy based on a new reduced space searching algorithm for the design of alloy steels |
Abstract | ||
|---|---|---|
In this paper, a salient search and optimisation algorithm based on a new reduced space searching strategy, is presented. This algorithm originates from an idea which relates to a simple experience when humans search for an optimal solution to a 'real-life' problem, i.e. when humans search for a candidate solution given a certain objective, a large area tends to be scanned first; should one succeed in finding clues in relation to the predefined objective, then the search space is greatly reduced for a more detailed search. Furthermore, this new algorithm is extended to the multi-objective optimisation case. Simulation results of optimising some challenging benchmark problems suggest that both the proposed single-objective and multi-objective optimisation algorithms outperform some of the other well-known Evolutionary Algorithms (EAs). The proposed algorithms are further applied successfully to the optimal design problem of alloy steels, which aims at determining the optimal heat treatment regime and the required weight percentages for chemical composites to obtain the desired mechanical properties of steel hence minimising production costs and achieving the overarching aim of 'right-first-time production' of metals. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1016/j.engappai.2010.01.017 | Eng. Appl. of AI |
Keywords | Field | DocType |
optimal heat treatment regime,nature-inspired multi-objective optimisation strategy,multi-objective optimisation algorithm,new algorithm,multi-objective optimisation case,new reduced space,optimal solution,humans search,optimal design problem,alloy steel,search space,detailed search,salient search,heat treatment,evolutionary algorithm,search algorithm,optimal design,chemical composition,tensile strength,evolutionary algorithms | Mathematical optimization,Search algorithm,Evolutionary algorithm,Computer science,Alloy steel,Optimal design,Artificial intelligence,Alloy,Machine learning,Salient | Journal |
Volume | Issue | ISSN |
23 | 5 | Engineering Applications of Artificial Intelligence |
Citations | PageRank | References |
5 | 0.43 | 10 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qian Zhang | 1 | 38 | 4.41 |
| Mahdi Mahfouf | 2 | 235 | 33.17 |