Add to ORKGEvolutionary computation (EC) is a growing research field of Artificial Intelligence (AI) and is divided in two main areas: the Evolutionary Algorithms (EA) and the Swarm Intelligence (SI). This paper presents an algorithm that combines an EA algorithm - the Genetic Algorithm (GA) with a SI algorithm - the Particle Swarm Optimization Algorithm (PSO). The new algorithm is applied to the synthesis of combinational logic circuits. With this combination is possible to take advantage of the best features of each particular algorithm.N/
In this paper we propose a methodology based on a genetic algorithm (GA) to automate the design of c...
This paper proposes a genetic algorithm for designing combinational logic circuits and studies four ...
This paper analyses the performance of a Genetic Algorithm using two new concepts, namely a static ...
Evolutionary Computation (EC) is a growing research field of Artificial Intelligence (AI), particula...
Genetic Algorithms (GAs) are adaptive heuristic search algorithm based on the evolutionary ideas of ...
Particle swarm optimization (PSO) motivated by the social behavior of organisms is proposed for evol...
Several Evolutionary Algorithms (EAs) are applied in the design and optimization of digital circuits...
This paper is devoted to the synthesis of combinational logic circuits through computacional intelli...
This paper presents two evolutionary schemes and a swarm intelligence algorithm for the design of co...
Particle Swarm Optimization (PSO) is a population-based search algorithm that is initialized with a ...
Swarm Intelligence (SI) is the property of a system whereby the collective behaviors of (unsophistic...
Swarm Intelligence (SI) is the property of a system whereby the collective behaviors of (unsophistic...
In this paper, an algorithm inspired from quantum evolution and particle swarm to evolve combination...
In this paper we propose an approach to Genetic Programming based on code reuse and we test it in th...
This paper proposes a genetic algorithm for designing combinational logic circuits and studies four ...
In this paper we propose a methodology based on a genetic algorithm (GA) to automate the design of c...
This paper proposes a genetic algorithm for designing combinational logic circuits and studies four ...
This paper analyses the performance of a Genetic Algorithm using two new concepts, namely a static ...
Evolutionary Computation (EC) is a growing research field of Artificial Intelligence (AI), particula...
Genetic Algorithms (GAs) are adaptive heuristic search algorithm based on the evolutionary ideas of ...
Particle swarm optimization (PSO) motivated by the social behavior of organisms is proposed for evol...
Several Evolutionary Algorithms (EAs) are applied in the design and optimization of digital circuits...
This paper is devoted to the synthesis of combinational logic circuits through computacional intelli...
This paper presents two evolutionary schemes and a swarm intelligence algorithm for the design of co...
Particle Swarm Optimization (PSO) is a population-based search algorithm that is initialized with a ...
Swarm Intelligence (SI) is the property of a system whereby the collective behaviors of (unsophistic...
Swarm Intelligence (SI) is the property of a system whereby the collective behaviors of (unsophistic...
In this paper, an algorithm inspired from quantum evolution and particle swarm to evolve combination...
In this paper we propose an approach to Genetic Programming based on code reuse and we test it in th...
This paper proposes a genetic algorithm for designing combinational logic circuits and studies four ...
In this paper we propose a methodology based on a genetic algorithm (GA) to automate the design of c...
This paper proposes a genetic algorithm for designing combinational logic circuits and studies four ...
This paper analyses the performance of a Genetic Algorithm using two new concepts, namely a static ...