In this paper we wish to ΓΏnd solutions to the fully fuzziΓΏed linear program where all the parameters and variables are fuzzy numbers. We ΓΏrst change the problem of maximizing a fuzzy number, the value of the objective function, into a multi-objective fuzzy linear programming problem. We prove that f
Applying evolutionary programming to selected set partitioning problems
β Scribed by Paul Gomme; Paul G. Harrald
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 525 KB
- Volume
- 95
- Category
- Article
- ISSN
- 0165-0114
No coin nor oath required. For personal study only.
β¦ Synopsis
Evolutionary programming is applied to several instances of the set partitioning problem. Comparison is made between the distribution of best-evolved solutions arising from implementations of the EP with the empirical distribution of a randomly selected trial solution.
π SIMILAR VOLUMES
Given a finite ground set, a set of subsets, and costs on the subsets, the set partitioning problem is to find a minimum cost partition of the ground set. Many combinatorial optimization problems can be formulated as set partitioning problems. We present an approximation algorithm that produces high
discover The Benefits Of Applying Algorithms To Solve Scientific, Engineering, And Practical Problems Providing A Combination Of Theory, Algorithms, And Simulations, Handbook Of Applied Algorithms Presents An All-encompassing Treatment Of Applying Algorithms And Discrete Mathematics To Practi