  Wireless Mesh Networks(WMN) is an active research topic for wireless networks
designers and researchers. Routing has been studied in the last two decades in
the field of optimization due to various applications in WMN. In this paper,
Adaptive Genetic Algorithm (AGA) for identifying the shortest path in WMN
satisfying multi- QoS measure is introduced. The proposed algorithm is adaptive
in the sense that it uses various selection methods during the reproduction
process and the one with the best multi-QoS measure is adopted in that
generation .The multi-objective QoS measure defined as the combination of the
minimum number of hops, minimum delay, and maximum bandwidth. The
multi-objective optimization has been formulated and solved using weighted sum
approach and Pareto optimal solution techniques. The simulation experiments
have been carried out in MATLAB environment with a wireless network modeled as
weighted graph of fifty nodes and node coverage equals to 200 meter, and the
outcomes demonstrated that the proposed AGA performs well and finds the
shortest route of the WMN proficiently, rapidly, and adapts to the dynamic
nature of the wireless network and satisfying all of the constraints and
objective measures imposed on the networks.
