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	Genetic Programming and Evolvable Machines Kluwer Academic / Plenum Publishers         Options: Date Reviewed Title Author Publisher Published Date Descending Order Ascending Order     1-10 of 11 reviews Date Reviewed     Self-repair ability of evolved self-assembling systems in cellular automata Öztürkeri C., Johnson C. Genetic Programming and Evolvable Machines 15(3): 313-341, 2014.  Type: Article The major inspiration for the self-repairing concept is biological cell development: the formation of patterns from undifferentiated masses. A number of computational systems in areas such as computer graphics and learning neural netwo... Oct 7 2014   Accelerating floating-point fitness functions in evolutionary algorithms: a FPGA-CPU-GPU performance comparison Gomez-Pulido J., Vega-Rodriguez M., Sanchez-Perez J., Priem-Mendes S., Carreira V. Genetic Programming and Evolvable Machines 12(4): 403-427, 2011.  Type: Article The authors’ research focuses on comparing implementations of different fitness functions in evolutionary algorithms on field-programmable gate arrays (FPGAs), central processing units (CPUs), and graphics processing units (G... Feb 21 2012   Challenges of evolvable hardware: past, present and the path to a promising future Haddow P., Tyrrell A. Genetic Programming and Evolvable Machines 12(3): 183-215, 2011.  Type: Article This paper presents a critical review and discussion of previous works in evolvable hardware (EH) and the research directions in this field. According to the authors, they “highlight some of the successes” but &... Feb 9 2012   Automated synthesis of resilient and tamper-evident analog circuits without a single point of failure Kim K., Wong A., Lipson H. Genetic Programming and Evolvable Machines 11(1): 35-59, 2010.  Type: Article When talking about fault tolerance, we seek to put in place mechanisms that would keep a system running with minimal degradation, despite the malfunctioning of a component. Typically, in the case of failure, redundant components jump i... Aug 19 2010   Multi-objective evolutionary design and knowledge discovery of logic circuits based on an adaptive genetic algorithm Zhao S., Jiao L. Genetic Programming and Evolvable Machines 7(3): 195-210, 2006.  Type: Article The concept of evolutionary circuit design has been introduced for the computer-aided design of both analog and digital circuits. In this paper, Zhao and Jiao concentrate on features of evolutionary digital circuit design. Extrinsic an... Feb 28 2007   GP-Sumo: using genetic programming to evolve sumobots Sharabi S., Sipper M. Genetic Programming and Evolvable Machines 7(3): 211-230, 2006.  Type: Article The evolutionary methods used to evolve sumobot fighter strategies for real robots are discussed in this paper. In particular, the authors describe the evolution of control systems for real-world, sumo-fighting robots (sumobots) via ge... Jan 11 2007   The fast evaluation strategy for evolvable hardware Salami M., Hendtlass T. Genetic Programming and Evolvable Machines 6(2): 139-162, 2005.  Type: Article If an evolutionary algorithm is implemented in hardware, one expects a substantial speed up. However, for problems where the computation of the fitness function is a large part of the execution, this may not be the case. This paper des... Oct 26 2006   Solving differential equations with genetic programming Tsoulos I., Lagaris I. Genetic Programming and Evolvable Machines 7(1): 33-54, 2006.  Type: Article Genetic programming is a process that optimizes a solution based on the evolution of a large number of candidate solutions through genetic operations such as replication, crossover, and mutation. This paper proposes such a solution pro... Oct 17 2006   Evolutionary scheduling: a review Hart E., Ross P., Corne D. Genetic Programming and Evolvable Machines 6(2): 191-220, 2005.  Type: Article For those who need an update on research material that applies evolutionary computing methods to scheduling problems, this review paper is of substantial value. The last major survey was performed in 1999, when a major statement emerge... Sep 27 2006   Tantrix: a minute to learn, 100 (genetic algorithm) generations to master Downing K. Genetic Programming and Evolvable Machines 6(4): 381-406, 2005.  Type: Article The Tantrix board game involves positioning tiles containing lines of different colors, subject to certain game rules. There are different puzzles based on the same basic tile forms. This paper discusses an evolutionary approach to sol... Sep 7 2006       Display 510152550100 per column
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