this study proposes a modified version of cultural algorithms (cas) which benefits from rule-based system for influence function. this rule-based system selects and applies the suitable knowledge source according to the distribution of the solutions. this is important to use appropriate influence function to apply to a specific individual, regarding to its role in the search process. this rule ...

Many approaches that model specific intelligent behaviors perform excellently in solving complex optimization problems. Game theory is widely recognized as an important tool in many fields. This paper introduces a game theory-inspired evolutionary algorithm for global optimization (GameEA). A formulation to estimate payoff expectations is provided, which is a mechanism to make a player become a...

A multi-agent system (MAS) that composed of multiple interacting intelligent agents can be used to solve problems which are difficult or impossible for an individual agent or monolithic system to solve. Since the agent is autonomous and intelligent, it is reasonable to assume that it choice the behavior to bring itself the maximal benefit. Thus, the cooperation and coordination can be achieved ...

In this paper, it has been integrated Nash Equilibrium solution of Game Theory with Genetic Algorithms (GA) to optimize performance of a job scheduler, in order to simulate topology and sizing of Analog Electrical Circuits simulation. We proposed a new method for performance problems solving of Genetic Algorithms applied to Electronic Design Automation (EDA) simulator tool optimization. This op...

in this paper, a stochastic cell formation problem is studied using queuing theory framework and considering reliability. since cell formation problem is np-hard, two algorithms based on genetic and modified particle swarm optimization (mpso) algorithms are developed to solve the problem. for generating initial solutions in these algorithms, a new heuristic method is developed, which always cre...

This paper develops an evolutionary trade network game (TNG) that combines evolutionary game play with endogenous partner selection. Successive generations of resource-constrained buyers and sellers choose and refuse trade partners on the basis of continually updated expected payo®s. Trade partner selection takes place in accordance with a modi ̄ed Gale-Shapley matching mechanism, and trades are...

We combine incentive, adaptive, and time-scale dynamics to study multipopulation dynamics on the simplex equipped with a large class of Riemannian metrics, simultaneously generalizing and extending many dynamics commonly studied in dynamic game theory and evolutionary dynamics. Each population has its own geometry, method of adaptation (incentive), and time-scale (discrete, continuous, and othe...

The functioning of animal as well as human societies fundamentally relies on cooperation. Yet, defection is often favorable for the selfish individual, and social dilemmas arise. Selection by individuals’ fitness, usually the basic driving force of evolution, then quickly eliminates cooperators. However, evolution is also governed by fluctuations that can be of greater importance than fitness d...