many real world problems can be modelled as an optimization problem. evolutionary algorithms are used to solve these problems. ant colony algorithm is a class of evolutionary algorithms that have been inspired of some specific ants looking for food in the nature. these ants leave trail pheromone on the ground to mark good ways that can be followed by other members of the group. ant colony optim...

In this chapter, we describe the robust and scalable academic placement tool Capo. Capo uses the min-cut placement paradigm and performs (i) scalable multi-way partitioning , (ii) routable standard-cell placement, (iii) integrated mixed-size placement, (iv) wirelength-driven fixed-outline floorplanning as well as (v) incremental placement.

In this study, we consider simulation-based worst-case optimization problems with continuous design variables and a finite scenario set. To reduce the number of simulations required increase restarts for better local optimum solutions, propose new approach referred to as adaptive subset selection (AS3). The proposed subsamples support construct objective function in given neighborhood, introduc...

Well placement in a given geological setting for fractured geothermal reservoir is necessary enhanced operations. High computational cost associated with the framework of fully coupled thermo-hydraulic-mechanical (THM) processes simulation makes well positioning missing point developing field-scale investigation. To enhance knowledge different working fluids, we present importance this topic by...

adequate coverage is one of the main problems for distributed wireless sensor networks and the effectiveness of that highly depends on the sensor deployment scheme. given a finite number of sensors, optimizing the sensor deployment will provide sufficient sensor coverage and save power of sensors for movement to target location to adequate coverage. in this paper, we apply fuzzy logic system to...