Name
Title | ||
|---|---|---|
Artificial immune system based on clonal selection and game theory principles for multiobjective optimization |
Abstract | ||
|---|---|---|
In order to make decisions in multi-criteria environments there is a need to find solutions with compromises. They are compromises for all criteria and create a set of solutions named the Pareto frontier. Based on these possibilities the decision maker can choose the best solution by looking at the current preferences. This paper is dedicated to methods of finding solutions in multi-criteria environments using Artificial Immune System and game theory, and coupling both approaches to create a new intelligent hybrid system of decision making. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/978-3-642-22371-6_28 | ICARIS |
Keywords | Field | DocType |
current preference,new intelligent hybrid system,best solution,artificial immune system,game theory principle,multi-criteria environment,multiobjective optimization,clonal selection,decision maker,game theory,pareto frontier | Artificial immune system,Mathematical optimization,Computer science,Multi-objective optimization,Artificial intelligence,Game theory,Nash equilibrium,Clonal selection,Hybrid system,Decision maker,Machine learning,Pareto principle | Conference |
Citations | PageRank | References |
1 | 0.39 | 8 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pawel Jarosz | 1 | 3 | 0.80 |
| Tadeusz Burczynski | 2 | 33 | 6.69 |