Add to ORKGEvolving a single individual does not provide a solution when a set of individuals is needed to address different aspects of the problem. Genetic algorithms, however, are typically used to evolve a single individual. We have generalized previous work on modeling the immune system and developed a fitness method that allows a single run of a genetic algorithm to evolve a suite of individuals that compete with each other for fitness and yet cooperate to solve a problem. The method is a form of tournament fitness where individuals compete for fitness with other members of the population. The competitions vary throughout the run, resulting in a changing fitness environment. Experimental results and a preliminary model are described that verify t...
This paper models adaptive learning behavior in a simple coordination game that Van Huyck, Cook and ...
Cooperative co--evolutionary systems can facilitate the development of teams of heterogeneous agents...
When evolving a game-playing neural network, fitness is usually measured by playing against existing...
In typical applications, genetic algorithms (GAs) process populations of potential problem solutions...
We introduce a cooperative co--evolutionary system to facilitate the development of teams of heterog...
Some problems can be solved only by multi–agent teams. In using genetic programming to produce such ...
The concept of inclusive fitness plays a key role in much of sociobiology. Yet most theoretical stud...
Evolution depends on the fitness of organisms, the expected rate of reproducing. Directly getting of...
Evolutionary algorithms are widespread heuristic methods inspired by natural evolution to solve diff...
Evolutionary algorithms are widespread heuristic methods inspired by natural evolution to solve diff...
In the typical genetic algorithm experiment, the fitness function is constructed to be independent o...
A key, yet often neglected, component of digital evolution and evolutionary models is the 'selection...
this paper for descriptive purposes only. The co-evolution algorithm uses only relative fitness. In ...
The use of evolutionary computing techniques in coevolutionary/multiagent systems is becoming increa...
This paper describes an immune system model based on binary strings. The purpose of the model is to ...
This paper models adaptive learning behavior in a simple coordination game that Van Huyck, Cook and ...
Cooperative co--evolutionary systems can facilitate the development of teams of heterogeneous agents...
When evolving a game-playing neural network, fitness is usually measured by playing against existing...
In typical applications, genetic algorithms (GAs) process populations of potential problem solutions...
We introduce a cooperative co--evolutionary system to facilitate the development of teams of heterog...
Some problems can be solved only by multi–agent teams. In using genetic programming to produce such ...
The concept of inclusive fitness plays a key role in much of sociobiology. Yet most theoretical stud...
Evolution depends on the fitness of organisms, the expected rate of reproducing. Directly getting of...
Evolutionary algorithms are widespread heuristic methods inspired by natural evolution to solve diff...
Evolutionary algorithms are widespread heuristic methods inspired by natural evolution to solve diff...
In the typical genetic algorithm experiment, the fitness function is constructed to be independent o...
A key, yet often neglected, component of digital evolution and evolutionary models is the 'selection...
this paper for descriptive purposes only. The co-evolution algorithm uses only relative fitness. In ...
The use of evolutionary computing techniques in coevolutionary/multiagent systems is becoming increa...
This paper describes an immune system model based on binary strings. The purpose of the model is to ...
This paper models adaptive learning behavior in a simple coordination game that Van Huyck, Cook and ...
Cooperative co--evolutionary systems can facilitate the development of teams of heterogeneous agents...
When evolving a game-playing neural network, fitness is usually measured by playing against existing...