In this paper the performance of four well-known metaheuristics consisting of Artificial Bee Colony (ABC), Biogeographic Based Optimization (BBO), Harmony Search (HS) and Teaching Learning Based Optimization (TLBO) are investigated on optimal domain decomposition for parallel computing. A clique graph is used for transforming the connectivity of a finite element model (FEM) into that of the cor...

The weight optimization of a structure can be conducted by using fewer and downsized components, applying lighter materials in production, removing unwanted material. Topology (TO) is one the most implemented material removal processes. In addition, when it oriented towards additive manufacturing (AM), increases design flexibility. traditional approach compliance optimization, where layout opti...

In this study, we propose a new approach for creating the optimal shape and topology of shell structures. By implementing topology optimization in the variable design domain which is optimized by shape optimization at every iteration, the optimal topology and shape is simultaneously determined. The free-form optimization method and the SIMP method for shells are used for shape and topology opti...

In this study, we physically built hardware modules that allow us to flexibly construct robots with various morphologies. As opposed to the existing studies of modular robotics, where the connection topology among the modules has to be hand-designed, our modules are able to adaptively modify their connection topology. The gradual self-adaptation of the inter-module connection generates a topolo...

The topology of an ATM network is referred to as the map of the network consisting of the devices in the network and the connections among them. Network topology information is useful for network administration and planning. For examples, network problems, traffic bottlenecks, and other important information can be shown directly on the topology map such that a network administrator has a clear...

Over the past two decades, structural optimization studies have been performed extensively by researchers across the world. Most recent investigations have focused on increasing the efficiency and robustness of gradient based optimization techniques and extending them to multidisciplinary objective functions. The existing global optimization techniques suffer with requirement of enormous comput...

This paper concerns the problem of allocating network capacity through periodic auctions, in which users submit bids for fixed amounts of end-to-end service. We seek a distributed allocation policy over a general network topology that optimizes revenue for the operator, under the provision that resources allocated in a given auction are reserved for the entire duration of the connection. We fir...

This paper presents an explicit feature-based levelset topology optimization method involving polyline-arc profiling and 2.5D machining processes. This method relies on a feature fitting algorithm incorporated into the boundary evolvement process in order to regulate the noisy velocity fields and thus introduce new explicit feature primitives; once inserted, the feature-based shape optimization...