Combinatorial optimisation problems are in the domain of Genetic Algorithms (GA) interest. Unfortunately ordinary crossover and mutation operators cause problems for chromosome representations of permutations and some types of combinations. This is so because offsprings generated by means of the ordinary operators are of a great possibility no more valid chromosomes. A variety of methods and new operators that handle that sort of obscenities are introduced throughout the literature. A new method for representing r-permutations of n-elements as GA chromosomes has been introduced. In contrast to the conventional ones this proposed representation is not handicapped under crossover and mutation. The proposed method is used in various scheduling...
Recently, a wealthy of research works has been dedicated to the design of effective and efficient ge...
<p>Each chromosome found in the population formed in the GA is structurally an equal-length coded se...
[[abstract]]Genetic algorithm is a novel optimization technique for solving constrained optimization...
Ordinary representations of permutations in Genetic Algorithms (GA) is handicapped with producing os...
Ordinary representations of permutations in Genetic Algorithms (GA) is handicapped with producing of...
Abstract—Sorting unsigned permutations by reversals is an important and difficult problem in combina...
We study different genetic algorithm operators for one permutation problem associated with the Human...
In this paper, a permutation chromosome encoding scheme is proposed for obtaining solution to resour...
Genetic algorithm (GA) is a well known algorithm applied to a wide variety of optimization problems ...
In this paper, as one approach for mathematical analysis of genetic algorithms with real number chro...
A multi-chromosome GA (Multi-GA) was developed, based upon concepts from the natural world, allowing...
Multi-chromosomes representations have been used in Genetic Algorithms to decompose complex solution...
. Multi-chromosomes representations have been used in Genetic Algorithms to decompose complex soluti...
The past thirty years have seen a rapid growth in the popularity and use of Genetic Algorithms for s...
[[abstract]]This study proposes a novel, efficient means of encoding genetic algorithms to solve the...
Recently, a wealthy of research works has been dedicated to the design of effective and efficient ge...
<p>Each chromosome found in the population formed in the GA is structurally an equal-length coded se...
[[abstract]]Genetic algorithm is a novel optimization technique for solving constrained optimization...
Ordinary representations of permutations in Genetic Algorithms (GA) is handicapped with producing os...
Ordinary representations of permutations in Genetic Algorithms (GA) is handicapped with producing of...
Abstract—Sorting unsigned permutations by reversals is an important and difficult problem in combina...
We study different genetic algorithm operators for one permutation problem associated with the Human...
In this paper, a permutation chromosome encoding scheme is proposed for obtaining solution to resour...
Genetic algorithm (GA) is a well known algorithm applied to a wide variety of optimization problems ...
In this paper, as one approach for mathematical analysis of genetic algorithms with real number chro...
A multi-chromosome GA (Multi-GA) was developed, based upon concepts from the natural world, allowing...
Multi-chromosomes representations have been used in Genetic Algorithms to decompose complex solution...
. Multi-chromosomes representations have been used in Genetic Algorithms to decompose complex soluti...
The past thirty years have seen a rapid growth in the popularity and use of Genetic Algorithms for s...
[[abstract]]This study proposes a novel, efficient means of encoding genetic algorithms to solve the...
Recently, a wealthy of research works has been dedicated to the design of effective and efficient ge...
<p>Each chromosome found in the population formed in the GA is structurally an equal-length coded se...
[[abstract]]Genetic algorithm is a novel optimization technique for solving constrained optimization...