Random walks on multidimensional nonlinear landscapes are of interest in many areas of science and engineering. In particular, properties of adaptive trajectories on fitness landscapes determine population fates and thus play a central role in evolutionary theory. The topography of fitness landscapes and its effect on evolutionary dynamics have been extensively studied in the literature. We wil...

A variety of evolutionary algorithms, operating according to Darwinian concepts, have been proposed to approximately solve problems of c o w n engineering applications. Increasingly common applications involve automatic learning of nonlinear mappings that govern the behavior of control systems. In m y cases where robot control is of primary concern, the systems used to demonstrate the effective...

Relational, complex object, and object-oriented data models seem to establish three diverging directions and it appears hopeless to arrive at a new higher-level unifying data model as a new platform for the non-traditional applications as well as for the classical ones. In this paper, however, we give some evidence that recent object models can be considered as an evolution from classical ones....

A new methodology named Evolutionary Artificial Potential Field (EAPF) is proposed for real-time robot path planning. The artificial potential field method is combined with genetic algorithms, to derive optimal potential field functions. The proposed Evolutionary Artificial Potential Field approach is capable of navigating robot(s) situated among moving obstacles. Potential field functions for ...

In this paper we consider the problem of finding a global optimum of a multimodal function applying path relinking. In particular, we target unconstrained large scale problems and compare two variants of this methodology: the static and the evolutionary path relinking. Both are based on the strategy of creating trajectories of moves passing through high quality solutions in order to incorporate...

G10.21-0.31 is a 70 $\mu$m-dark high-mass starless core ($M>300$ $\mathrm{M_{\odot}}$ within $r<0.15$ pc) identified in $Spitzer$, $Herschel$, and APEX continuum surveys, believed to harbor the initial stages of star formation. We present ALMA SMA observations resolve internal structure this promising core. Sensitive high-resolution 1.3 mm dust emission reveals three cores mass ranging 11-18 $\...

An Unmanned Aerial Vehicle (UAV) has to possess three abilities to function autonomously. The three abilities are localization, mapping and path planning. Path planning guides the UAV to find a feasible path, meaning a path that meets safety, kinematic and optimization constrains. In order to intercept a moving target, dynamic path planning must be used due to target movement. To produce a feas...

Setting weights for Open Shortest Path First (OSPF) routing protocol is an NP-hard problem. Optimizing these weights leads to less congestion in the network while utilizing link capacities efficiently. In this paper, Simulated Evolution (SimE), a non-deterministic iterative heuristic, is engineered to solve this problem. A cost function that depends on the utilization and the extra load caused ...

It is typical for the EA community that theory follows experiments. Most theoretical approaches use some model of the considered evolutionary algorithm (EA) but there is also some progress where the expected optimization time of EAs is analyzed rigorously. There are only three well-known problems of combinatorial optimization where such an approach has been performed for general input instances...