The intelligent water drop algorithm is a swarm-based metaheuristic algorithm, inspired by the characteristics of water drops in the river and the environmental changes resulting from the action of the flowing river. Since its appearance as an alternative stochastic optimization method, the algorithm has found applications in solving a wide range of combinatorial and functional optimization pro...

this with the integration of distributed generation (dg) to meshed distribution systems, the operating time of the protective system becomes a major concern in order to avoid nuisance dg tripping. this paper proposes a new tripping characteristic for directional overcurrent relays (docrs) that can achieve a higher possible reduction of overall relays operating time in meshed distribution networ...

Hybrid fuzzy expert systems are one of the most practical intelligent paradigm of soft computing techniques with the high potential for managing uncertainty associated to the medical diagnosis. The potential of genetic algorithm (GA) by inspiring from natural evolution as a learning and optimization technique has been vastly concentrated for improving fuzzy expert systems. In this paper, the GA...

Metaheuristics are effective strategies for solving optimization problems. However, when trying to solve an instance of this kind of problems it is hard to know which algorithm should be used. Hybrid systems provide flexible tools that can help to cope with this problem. Therefore a hybrid system based on the intelligent combination of different strategies will give more robustness and will all...

The aim of this paper is to solve the portfolio problem when security returns are birandom variables. Two types of portfolio selection based on chance measure are provided according to birandom theory. Since the proposed optimization problems are difficult to solve by traditional methods, a hybrid intelligent algorithm by integrating birandom simulation and genetic algorithm is designed. Finall...

Ant colony optimization algorithm is a heuristic approach for the solution of combinatorial optimization problems. In order to solve continuous optimization models, an ant colony optimization algorithm is designed. Based on this algorithm, two hybrid intelligent algorithms combined with fuzzy simulation and neural network or integral sum approximation are introduced for solving fuzzy expected v...

In this paper an intelligent hybrid coordinatedcontrol system for a fossil-fuel power unit is presented. First, the intelligent system-based approach is justified arguing that conventional and modern approaches, used alone, do not provide an adequate framework to satisfy current operation objectives. Second, several hybrid control schemes that incorporate intelligent techniques are reviewed. Th...

In this paper, a hybrid algorithm based on modified intelligent water drops algorithm and learning automata for solving Steiner tree problem is proposed. Since the Steiner tree problem is NP-hard, the aim of this paper is to design an algorithm to construct high quality Steiner trees in a short time which are suitable for real time multicast routing in networks. The global search and fast conve...