Add to ORKGA new multi-objective evolutionary algorithm that mimics the way viruses replicate is presented. The purpose of viral replication is to allow the reproduction and survival of its kind. The algorithm is able to produce a large number of solutions to be evaluated by imitating the way viral replication and the infection process work. The well-known multi-objective redundancy allocation problem is used to show the performance of this new viral-based evolutionary approach. The algorithm considers the maximization of system reliability, the minimization of system cost, and the minimization of system weight to be optimized simultaneously. The solution to the multi-objective optimization problem is a set of Pareto-optimal solutions
Combinatorial Multimodal Optimization Problems (CMOP) arising in the scheduling of manufacturing sys...
The primary objective of this paper is to put forward a general frameworkunder which clear definitio...
International audienceThis paper proposes a new multi-objective genetic algorithm, called GAME, to s...
A new multi-objective evolutionary algorithm that mimics the way viruses replicate is presented. The...
Abstract. In this paper, we propose an algorithm based on the clonal selection principle to solve mu...
Evolution algorithms for combinatorial optimization have been proposed in the 70's. They did not hav...
This paper proposes an evolutionary multi-objective optimization algorithm that applies the concept ...
Resistance to chemicals is a common current problem in many pests and pathogens that formerly were c...
[[abstract]]This paper proposes an evolutionary multi-objective optimization algorithm that applies ...
The aim of this work is to propose and validate a novel multi-objective optimization algorithm based...
Evolutionary algorithms (EAs) are increasingly popular approaches to multi-objective optimization. O...
In this paper new multicriteria design optimization methods are discus-sed. These methods are evolut...
Combinatorial optimization problems refer to intractable problems that can’t be performed using exac...
Evolutionary algorithms are bio-inspired algorithms based on Darwin’s theory of evolution. They are ...
Abstract: Evolutionary multi-objective optimization (EMO), whose main task is to deal with multi-ob...
Combinatorial Multimodal Optimization Problems (CMOP) arising in the scheduling of manufacturing sys...
The primary objective of this paper is to put forward a general frameworkunder which clear definitio...
International audienceThis paper proposes a new multi-objective genetic algorithm, called GAME, to s...
A new multi-objective evolutionary algorithm that mimics the way viruses replicate is presented. The...
Abstract. In this paper, we propose an algorithm based on the clonal selection principle to solve mu...
Evolution algorithms for combinatorial optimization have been proposed in the 70's. They did not hav...
This paper proposes an evolutionary multi-objective optimization algorithm that applies the concept ...
Resistance to chemicals is a common current problem in many pests and pathogens that formerly were c...
[[abstract]]This paper proposes an evolutionary multi-objective optimization algorithm that applies ...
The aim of this work is to propose and validate a novel multi-objective optimization algorithm based...
Evolutionary algorithms (EAs) are increasingly popular approaches to multi-objective optimization. O...
In this paper new multicriteria design optimization methods are discus-sed. These methods are evolut...
Combinatorial optimization problems refer to intractable problems that can’t be performed using exac...
Evolutionary algorithms are bio-inspired algorithms based on Darwin’s theory of evolution. They are ...
Abstract: Evolutionary multi-objective optimization (EMO), whose main task is to deal with multi-ob...
Combinatorial Multimodal Optimization Problems (CMOP) arising in the scheduling of manufacturing sys...
The primary objective of this paper is to put forward a general frameworkunder which clear definitio...
International audienceThis paper proposes a new multi-objective genetic algorithm, called GAME, to s...