Name
Title | ||
|---|---|---|
An evolutionary algorithm approach to generate distinct sets of non-dominated solutions for wicked problems |
Abstract | ||
|---|---|---|
Many engineering design problems must optimize multiple objectives. While many objectives are explicit and can be mathematically modeled, some goals are subjective and cannot be included in a mathematical model of the optimization problem. A set of alternative non-dominated fronts that represent multiple optima for problem solution can be identified to provide insight about the decision space and to provide options and alternatives for decision-making. This paper presents a new algorithm, the Multi-objective Niching Co-evolutionary Algorithm (MNCA) that identifies distinct sets of non-dominated solutions which are maximally different in their decision vectors and are located in the same non-inferior regions of a Pareto front. MNCA is demonstrated to identify a set of non-dominated fronts with maximum difference in decision vectors for a set of real-valued problems. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1016/j.engappai.2013.03.004 | Eng. Appl. of AI |
Keywords | Field | DocType |
non-dominated solution,decision space,engineering design problem,decision vector,multiple objective,non-dominated front,optimization problem,multiple optimum,distinct set,wicked problem,alternative non-dominated front,evolutionary algorithm approach,multi objective optimization,evolutionary computation,engineering design | Mathematical optimization,Evolutionary algorithm,Computer science,Evolutionary computation,Multi-objective optimization,Artificial intelligence,Engineering design process,Optimization problem,Machine learning | Journal |
Volume | Issue | ISSN |
26 | 5-6 | 0952-1976 |
Citations | PageRank | References |
4 | 0.41 | 15 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Emily Zechman | 1 | 104 | 8.56 |
| Marcio H. Giacomoni | 2 | 6 | 2.03 |
| M. Ehsan Shafiee | 3 | 15 | 3.41 |