Re-creating the past in full-scale, open-air reconstructions has been done for a long time, but phenomenon accelerating and changing character during last two decades. The article examines how reconstruction activities are motivated. Explicit aims contrasted with implicit motives inherent reconstruction. Public utility is proposed as an important excuse activities. As consequence of relationshi...

This paper argues that the concept of sexual abstinence in early Christianity was not based on biblical proof-texting, but rather resulted from constructive theological efforts response to socio-political reality time and Christians’ aspirations towards women marginalized. By exploring discourse surrounding marriage sexuality Greco-Roman world its impact Christianity, this highlights how teachi...

Novelty search is a powerful biologically motivated method for discovering successful behaviors especially in deceptive domains, like those in artificial life. This paper extends the biological motivation further by distributing novelty search to run in parallel in multiple islands, with periodic migration among them. In this manner, it is possible to scale novelty search to larger populations ...

ABSTRACT In the present paper, an effort has been made to compare and analyze the performance for pattern recalling with conventional hebbian learning rule and with evolutionary algorithm in Hopfield Model of feedback Neural Networks. A set of ten objects has been considered as the pattern set. In the Hopfield type of neural networks of associative memory, the weighted code of input patterns pr...

This paper describes the recent developments and improvements made to the variable radius niching technique called Dynamic Niche Clustering (DNC) originally described in [4] and [5]. DNC employs a separate population of overlapping fuzzy niches with independent radii which operate in the decoded parameter space and are maintained alongside the normal GA population. We describe a speedup process...

Multi-objective genetic algorithms (MOGA) are used to optimize a low-thrust spacecraft control law for orbit transfers around a central body. A Lyapunov feedback control law called the Q-law is used to create a feasible orbit transfer. Then, the parameters in the Q-law are optimized with MOGAs. The optimization goal is to minimize both the flight time and the consumed propellant mass of the tra...

This essay is an early ethnographic exploration of the Dark Web Social Network (DWSN), a social networking site only accessible to Web browsers equipped with The Onion Router. The central claim of this essay is that the DWSN is an experiment in power/freedom, an attempt to simultaneously trace, deploy, and overcome the historical conditions in which it finds itself: the generic constraints and ...

We use a genetic algorithm to attack the receiver function inversion problem where the objective is to retrieve shear wave velocities of rock layers as a function of depth. The receiver function inversion is a non–linear, multi–modal, and multi–parameter optimization problem suited for genetic algorithms. We implement a three operator genetic algorithm consisting of selection, single–point cros...

This paper presents a new genetic approach based on arithmetic crossover for solving the economic dispatch and environmentally constrained economic dispatch problems. Elitism, arithmetic crossover and mutation are used in the genetic algorithm to generate successive sets of possible operating policies. The proposed technique improves the quality of the solution. The employed arithmetic crossove...

Distribution of the goods from a producer to a customer is one of the most important tasks of transportation. This paper focuses on the usage of genetic algorithms (GA) for optimizing problems in transportation, namely vehicle routing problem (VRP). VRP falls in the field of NP-hard problems, which cannot be solved in polynomial time. The problem was solved using genetic algorithm with two type...