Demo Data from EDBT 2026 / reviewers in the wild / expert
Chris J. J. Lu
dblp:126/5059
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1996
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Theoretical computer science
1 paper |
Mathematical optimization · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Electronic design automation · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Electronic design automation › physical design
layout optimization |
0.0 | 1 | 1996 | Optimal layout design of automated systems using topology connectivity method · ICRA 1996 |
Electronic design automation
physical design |
0.0 | 1 | 1996 | Optimal layout design of automated systems using topology connectivity method · ICRA 1996 |
Methods — techniques the papers use, named apart from their topics
topology connectivity method · 0.0heuristic algorithm · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1996 | Optimal layout design of automated systems using topology connectivity methodabstractFactory and facility automation has been widely implemented since the revolution of computers. A variety of automatic material processing machines and material handling equipment have been designed and manufactured for various applications. The facility layout optimization is one of the major tasks in designing automated systems. This paper proposes a generic methodology that provides a systematic way to design an optimal layout for all types of automated facilities. The quantitative design criteria of automatic material processing machines and material handling equipment are addressed first. An optimal connectivity among machines is then solved through topology approach and heuristic algorithm. Thus, an optimized facility layout can be derived and completed by combining the optimal topology connectivity, physical constraints, and designer's preference. Chris J. J. Lu, K. H. Tsai, Jackson C. S. Yang, Michael Yu Wang |
ICRA | 1 |