The majority of real-world problems encountered by engineers involve simultaneous optimization of competing objectives. In this case instead of single optima, there is a set of alternative trade-offs, generally known as Pareto-optimal solutions. The use of evolutionary algorithms Pareto GA, which was first introduced by Goldberg in 1989, has now become a sort of standard in solving Multiobjecti...

Wireless mesh networks are a powerful and reliable solution to create and access wireless broadband services for Internet service providers, network construction, military applications and other end users are considered. These networks have features such as high reliability, low installation cost, wide coverage area and connect to the network automatically. The QoS routing service is a primary ...

In this paper, we apply an Evolutionary Algorithm (EA) to solve the Rubinstein’s Basic AlternatingOffer Bargaining Problem, and compare our experimental results with its analytic game-theoretic solution. The application of EA employs an alternative set of assumptions on the players’ behaviors. Experimental outcomes suggest that the applied co-evolutionary algorithm, one of Evolutionary Algorith...

The replicator equation used in evolutionary game theory (EGT) assumes that strategies reproduce in direct proportion to their payoffs; this is akin to the use of fitness-proportionate selection in an evolutionary algorithm (EA). In this paper, we investigate how various other selection methods commonly used in EAs can affect the discrete-time dynamics of EGT. In particular, we show that the ex...

Genetic Algorithm Schema Theory Read/Download A central problem in the theory of genetic algorithms is the characterization of problems Schemas. This note argues this popular approach appears unlikely. Presentation on theme: "Genetic Algorithms IntroductionIntroduction Representing The Schema Theory Can we characterize mathematically the evolution. The schema I envisage is based on the genetic ...

In 1987 the first published research appeared which used the Genetic Algorithm as a means of seeking better strategies in playing the repeated Prisoner’s Dilemma. Since then the application of Genetic Algorithms to game-theoretical models has been used in many ways. To seek better strategies in historical oligopolistic interactions, to model economic learning, and to explore the support of coop...

Game theory is a method of mathematical analysis developed to study the decision making process. In 1928, Von Neumann mathematically proved that every two-person, zerosum game with many pure finite strategies for each player is deterministic. In the early 50's, Nash presented another concept as the basis for a generalization of Von Neumann’s theorem. Another central achievement of game theory i...