Optimizing genetic algorithm strategies for evolving networks

Co - evolving Best Response Strategies for P - S - Optimizing Negotiation using Evolutionary Algorithms

Abstract—This paper presents the comparative study of two different evolutionary approaches, a genetic algorithm (GA) and an estimation of distribution algorithm (EDA), in co-evolving negotiation strategies with different preference criteria such as optimizing price and optimizing negotiation speed. Empirical studies demonstrate that both GA and EDA are successful in finding good solutions in p...

Optimizing Multiple Response Problem Using Artificial Neural Networks and Genetic Algorithm

  This paper proposes a new intelligent approach for solving multi-response statistical optimization problems. In most real world optimization problems, we are encountered adjusting process variables to achieve optimal levels of output variables (response variables). Usual optimization methods often begin with estimating the relation function between the response variable and the control variab...

Cooperative Co-Evolving Neural Networks for Robosoccer Simulation

Application of Artificial Neural Network and Genetic Algorithm for Predicting three Important Parameters in Bakery Industries

Farinograph is the most frequently used equipment for empirical rheological measurements of dough. It’suseful to illustrate quality of flour, behavior of dough during mechanical handling and texturalcharacteristics of finished products. The percentage of water absorption and the development time of doughare the most important parameters of farinography for bakery industries during production. H...

Using and comparing metaheuristic algorithms for optimizing bidding strategy viewpoint of profit maximization of generators

With the formation of the competitive electricity markets in the world, optimization of bidding strategies has become one of the main discussions in studies related to market designing. Market design is challenged by multiple objectives that need to be satisfied. The solution of those multi-objective problems is searched often over the combined strategy space, and thus requires the simultaneous...