'Fitness landscape' presentation slideshows

Fitness Functions

Fitness Functions. Fitness Evaluation. A key component in GA Time/quality trade off Multi-criterion fitness. Fitness function. Nature : only survival and reproduction count how well do I do in my environment Fitness space structure : Defined by kinship of genotypes and fitness function

1.01k views • 99 slides

Evolutionary Computation and beyond

Evolutionary Computation and beyond. Elhanan Borenstein May. 2004. www.cs.tau.ac.il/~borens. Evolution vs. Learning. Process: Random (?) Directional (?) Level: Population Individual Entity: Genotype Phenotype Time Scale: Generations Lifetime

434 views • 43 slides

Synthetic Biology Lab Techniques (I)

Synthetic Biology Lab Techniques (I). Outline. Motivation - To increase genetic circuit stability under mutation Plasmids and cells ( E. coli ). Restriction enzymes PCR amplification Electrophresis Gibson assembly Transformation Selection of colonies Colony PCR, freezer stocks

551 views • 38 slides

Dr. Clarence S. Bayne

A Paper on Minority Settlement Strategies : Focus on English Speaking Black Community of Montreal Presented at The Cultural Communities Conference of the The Union Cultural Communities Committee Montreal, Qc. December 4 2010. Dr. Clarence S. Bayne

512 views • 37 slides

Artificial Life Lecture 13

514 views • 36 slides

Artificial Life Lecture 12

360 views • 36 slides

Artificial Life Lecture 13

372 views • 36 slides

Evolutionary Algorithms

Evolutionary Algorithms. BIOL/CMSC 361: Emergence Lecture 4/03/08. Evolutionary Algorithms. A type of computation that involves a mechanism inspired by the process of biological evolution Population based Optimization Search for greatest fitness Metaheuristic : “beyond” heuristic

630 views • 31 slides

Haploid-Diploid Evolutionary Algorithms

899 views • 28 slides

Simulation Models as a Research Method

Simulation Models as a Research Method. Professor Alexander Settles. Research Methodology - Simulation. Simulation as a research tool Research in simulation Focus here is on simulation of discrete event dynamic systems. Social Simulation.

968 views • 27 slides

Simulation Models as a Research Method

Simulation Models as a Research Method. Professor Alexander Settles. Research Methodology - Simulation. Simulation as a research tool Research in simulation Focus here is on simulation of discrete event dynamic systems. Social Simulation.

551 views • 27 slides

what is a

391 views • 25 slides

Current Trends in Strategi c M anagement

Current Trends in Strategi c M anagement. The New E conomy New Directions in Strategic Thinking Redesigning the Organization New Modes of Leadership. OUTLINE. The Turbulent 21 st Century. Collapse of New Economy Dot.com bubble bursts TMT recession. Corporate Scandals

347 views • 20 slides

Fitness landscapes and coevolution: from physics to biology

Fitness landscapes and coevolution: from physics to biology. Frances Taschuk March 24, 2008. Fitness landscapes. Peaks represent local fitness maxima Here: fitness relates to feeding efficiency of crossbills on different conifers. Kauffman and Johnsen. Rugged multipeaked fitness landscapes

378 views • 16 slides

Fitness landscapes and coevolution: from physics to biology

Fitness landscapes and coevolution: from physics to biology. Frances Taschuk March 24, 2008. Fitness landscapes. Peaks represent local fitness maxima Here: fitness relates to feeding efficiency of crossbills on different conifers. Kauffman and Johnsen. Rugged multipeaked fitness landscapes

334 views • 16 slides

Fitness landscapes and coevolution: from physics to biology

Fitness landscapes and coevolution: from physics to biology. Frances Taschuk March 24, 2008. Fitness landscapes. Peaks represent local fitness maxima Here: fitness relates to feeding efficiency of crossbills on different conifers. Kauffman and Johnsen. Rugged multipeaked fitness landscapes

176 views • 16 slides

Offspring with genetic variation

154 views • 15 slides

Tracking evolution of gene regulatory circuits

Tracking evolution of gene regulatory circuits. Serdar Turkarslan. 11.02.09. Scope. To understand evolution of gene regulatory circuits -- via expansion of general transcription factors -- in response to changing environment. Methodology. Survey of fitness landscape

266 views • 14 slides

Toward a Simulation Model of Open Source Software Patrick Wagstrom

Toward a Simulation Model of Open Source Software Patrick Wagstrom Department of Engineering and Public Policy Center for the Computational Analysis of Social and Organizational Systems Carnegie Mellon University June 28, 2004 pwagstro@andrew.cmu.edu http://patrick.wagstrom.net/. Overview.

229 views • 13 slides