I examine optimal taxes in an overlapping generations economy in which each consumer’s utility depends on consumption relative to a weighted average of consumption by others (the benchmark level of consumption) as well as on the level of the consumer’s own consumption. The socially optimal balanced growth path is characterized by the ModiÞed Golden Rule and by a condition on the intergeneration...

through a collection of cooperative agents called ants, the near optimal solution to the multi-reservoir operation problem may be effectively achieved employing ant colony optimization algorithms (acoas). the problem is approached by considering a finite operating horizon, classifying the possible releases from the reservoir(s) into pre-determined intervals, and projecting the problem on a grap...

We study Network Maximum Congestion Games, a class of network games where players choose a path between two given nodes in order to minimize the congestion of the bottleneck (the most congested link) of their path. For single-commodity games, we provide an algorithm which computes a Pure Nash Equilibrium in polynomial time. If all players have the same weight, the obtained equilibrium has optim...

It is well known that on a line, a target point in unknown position can be found by walking a path at most 9 times as long as the distance from the start to the target point, in the worst case. This competitive factor of 9 is optimal. We investigate the case where the target is known to be within a fixed distance, r, of the start point, and determine the optimum competitive factor, C(r) < 9, th...

The differential evolution algorithm has been widely applied on unmanned aerial vehicle (UAV) path planning. At present, four random tuning parameters exist for differential evolution algorithm, namely, population size, differential weight, crossover, and generation number. These tuning parameters are required, together with user setting on path and computational cost weightage. However, the op...

In Active noise control (ANC), the secondary path has usually a time varying behavior. For these cases, an online secondary path modeling method that uses a auxiliary noise as a training signal is required to ensure convergence of the system. The modeling accuracy and the convergence rate are increased when a auxiliary noise with a larger variance is used. A sudden change in the secondary path ...

This paper presents an effective method for task scheduling in heterogeneous distributed systems. Its objective is to minimize the last task’s finish time and to maximize the system reliability probability. The optimum is carried out through a non-domination sort genetic algorithm. The experimental results based on both randomly generated graphs and the graphs of some real applications showed t...