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» Adapting binary fitness functions in Genetic Algorithms
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ANOR
2010
123views more  ANOR 2010»
14 years 9 months ago
Nature inspired genetic algorithms for hard packing problems
This paper presents two novel genetic algorithms (GAs) for hard industrially relevant packing problems. The design of both algorithms is inspired by aspects of molecular genetics,...
Philipp Rohlfshagen, John A. Bullinaria
EC
2000
96views ECommerce» more  EC 2000»
14 years 9 months ago
Multiobjective Evolutionary Algorithms: Analyzing the State-of-the-Art
Solving optimization problems with multiple (often conflicting) objectives is, generally, a very difficult goal. Evolutionary algorithms (EAs) were initially extended and applied ...
David A. van Veldhuizen, Gary B. Lamont
VLSID
1993
IEEE
136views VLSI» more  VLSID 1993»
15 years 1 months ago
A Simulation-Based Test Generation Scheme Using Genetic Algorithms
This paper discusses a Genetic Algorithm-based method of generating test vectorsfor detecting faults in combinational circuits. The GA-based approach combines the merits of two te...
M. Srinivas, Lalit M. Patnaik
GECCO
2010
Springer
218views Optimization» more  GECCO 2010»
15 years 1 months ago
Cartesian genetic programming
This paper presents a new form of Genetic Programming called Cartesian Genetic Programming in which a program is represented as an indexed graph. The graph is encoded in the form o...
Julian Francis Miller, Simon L. Harding
SIGKDD
2002
81views more  SIGKDD 2002»
14 years 9 months ago
P-tree Classification of Yeast Gene Deletion Data
Genomics data has many properties that make it different from "typical" relational data. The presence of multi-valued attributes as well as the large number of null valu...
Amal Perera, Anne Denton, Pratap Kotala, William J...