Add to ORKGAbstract — The programming of a swarm of autonomous agents to perform a given task is a time-consuming process. This work proposes the development of a genetic programming system to self-evolve rule-bases for swarms of autonomous agents. The genetic programming system utilizes finite state machines to represent candidate algorithms. The currently implemented system has been used to evolve rule-bases for the problem of object collection, a standard problem in the area group coordination. Index Terms—genetic programming, swarm I
Due to the large number of interactions that the agents in a swarm of UAVs have with each other as w...
This chapter presents an introduction of evolutionary and other nature-inspired computation. The mos...
In this paper, we apply a Genetic Network Programming (GNP) Architecture using Automatically Defined...
Homogeneous robotic swarms are usually controlled by a manually created program. This thesis studies...
Designing the behavioral attributes of a robot is challenging, and the complexity of this task is ev...
Abstract: This paper proposes an application of genetic programming for construction of state machin...
In this study, the general structure of swarm robotics is examined. Algorithms inspired by nature, w...
The new exploration of swarm robotics is dependent on the theme of austerity and elegance that reson...
The fields of Artificial Intelligence and Artificial Life have both focused on complex systems in wh...
In this chapter we will introduce Swarm Intelligence (SI), a discipline dealing with artificial and ...
Fan Z, Wang Z, Li W, et al. Automated pattern generation for swarm robots using constrained multi-ob...
This paper examines the nature inspired machine intelligence methods of swarm intelligence and evolu...
: The recently developed genetic programming paradigm provides a way to genetically breed a computer...
Swarming behaviour is based on the aggregation of simple drones exhibiting basic instinctive reactio...
In recent days, self-assembling swarm robots have been studied by a number of researchers due to the...
Due to the large number of interactions that the agents in a swarm of UAVs have with each other as w...
This chapter presents an introduction of evolutionary and other nature-inspired computation. The mos...
In this paper, we apply a Genetic Network Programming (GNP) Architecture using Automatically Defined...
Homogeneous robotic swarms are usually controlled by a manually created program. This thesis studies...
Designing the behavioral attributes of a robot is challenging, and the complexity of this task is ev...
Abstract: This paper proposes an application of genetic programming for construction of state machin...
In this study, the general structure of swarm robotics is examined. Algorithms inspired by nature, w...
The new exploration of swarm robotics is dependent on the theme of austerity and elegance that reson...
The fields of Artificial Intelligence and Artificial Life have both focused on complex systems in wh...
In this chapter we will introduce Swarm Intelligence (SI), a discipline dealing with artificial and ...
Fan Z, Wang Z, Li W, et al. Automated pattern generation for swarm robots using constrained multi-ob...
This paper examines the nature inspired machine intelligence methods of swarm intelligence and evolu...
: The recently developed genetic programming paradigm provides a way to genetically breed a computer...
Swarming behaviour is based on the aggregation of simple drones exhibiting basic instinctive reactio...
In recent days, self-assembling swarm robots have been studied by a number of researchers due to the...
Due to the large number of interactions that the agents in a swarm of UAVs have with each other as w...
This chapter presents an introduction of evolutionary and other nature-inspired computation. The mos...
In this paper, we apply a Genetic Network Programming (GNP) Architecture using Automatically Defined...