-
3
-
-
0028338155
-
An introduction to simulated evolutionary optimization
-
Fogel DB (1994) An introduction to simulated evolutionary optimization. IEEE Trans Neural Netw 5: 3-14.
-
(1994)
IEEE Trans Neural Netw
, vol.5
, pp. 3-14
-
-
Fogel, D.B.1
-
5
-
-
0035375033
-
Evolutionary computation
-
Foster JA (2001) Evolutionary computation. Nat Rev Genet 2: 428-36.
-
(2001)
Nat Rev Genet
, vol.2
, pp. 428-436
-
-
Foster, J.A.1
-
6
-
-
0037089750
-
Evolutionary computing
-
DOI 10.1016/S0020-0190(02)00204-1, PII S0020019002002041
-
Eiben A, Schoenauer M (2002) Evolutionary computing. Information Processing Letters 82: 1-6. (Pubitemid 34110159)
-
(2002)
Information Processing Letters
, vol.82
, Issue.1
, pp. 1-6
-
-
Eiben, A.E.1
Schoenauer, M.2
-
8
-
-
52949144577
-
Natural selection fails to optimize mutation rates for long-term adaptation on rugged fitness landscapes
-
Clune J, Misevic D, Ofria C, Lenski RE, Elena SF, et al. (2008) Natural selection fails to optimize mutation rates for long-term adaptation on rugged fitness landscapes. PLoS Comput Biol 4: e1000187.
-
(2008)
PLoS Comput Biol
, vol.4
-
-
Clune, J.1
Misevic, D.2
Ofria, C.3
Lenski, R.E.4
Elena, S.F.5
-
9
-
-
84856400296
-
Historical contingency affects signaling strategies and competitive abilities in evolving populations of simulated robots
-
Wischmann S, Floreano D, Keller L (2012) Historical contingency affects signaling strategies and competitive abilities in evolving populations of simulated robots. Proc Natl Acad Sci USA 109: 864-868.
-
(2012)
Proc Natl Acad Sci USA
, vol.109
, pp. 864-868
-
-
Wischmann, S.1
Floreano, D.2
Keller, L.3
-
10
-
-
79952151967
-
Morphological change in machines accelerates the evolution of robust behavior
-
Bongard J (2011) Morphological change in machines accelerates the evolution of robust behavior. Proc Natl Acad Sci USA 108: 1234-1239.
-
(2011)
Proc Natl Acad Sci USA
, vol.108
, pp. 1234-1239
-
-
Bongard, J.1
-
11
-
-
21044438483
-
Evolutionary optimization in uncertain environments - A survey
-
DOI 10.1109/TEVC.2005.846356
-
Jin Y, Branke J (2005) Evolutionary Optimization in Uncertain Environments - A Survey. IEEE Transactions on Evolutionary Computation 9: 303-317. (Pubitemid 40871134)
-
(2005)
IEEE Transactions on Evolutionary Computation
, vol.9
, Issue.3
, pp. 303-317
-
-
Jin, Y.1
Branke, J.2
-
12
-
-
84879843809
-
Macromolecular symmetric assembly prediction using swarm intelligence dynamic modeling
-
Degiacomi MT, Dal Peraro M (2013) Macromolecular symmetric assembly prediction using swarm intelligence dynamic modeling. Structure 21: 1097-1106.
-
(2013)
Structure
, vol.21
, pp. 1097-1106
-
-
Degiacomi, M.T.1
Dal Peraro, M.2
-
13
-
-
0344644493
-
Constraint satisfaction problems
-
Back T, Fogel DB, Michalewicz Z, editors, Bristol, UK: IOP Publishing Ltd.
-
Eiben AE, Ruttkay Z (1997) Constraint satisfaction problems. In: Back T, Fogel DB, Michalewicz Z, editors, Handbook of Evolutionary Computation. Bristol, UK: IOP Publishing Ltd.
-
(1997)
Handbook of Evolutionary Computation
-
-
Eiben, A.E.1
Ruttkay, Z.2
-
14
-
-
0002514541
-
Algorithms for constraint-satisfaction problems: A survey
-
Kumar V (1992) Algorithms for constraint-satisfaction problems: A survey. AI magazine 13: 32.
-
(1992)
AI Magazine
, vol.13
, pp. 32
-
-
Kumar, V.1
-
16
-
-
33745727034
-
Multi-objective optimization using genetic algorithms: A tutorial
-
DOI 10.1016/j.ress.2005.11.018, PII S0951832005002012
-
Konak A, Coit DW, Smith AE (2006) Multi-objective optimization using genetic algorithms: A tutorial. Reliability Engineering and System Safety 91: 992-1007. (Pubitemid 43996942)
-
(2006)
Reliability Engineering and System Safety
, vol.91
, Issue.9
, pp. 992-1007
-
-
Konak, A.1
Coit, D.W.2
Smith, A.E.3
-
18
-
-
33644978280
-
Evolutionary multi-objective optimization: A historical view of the field
-
IEEE
-
Coello Coello CA (2006) Evolutionary multi-objective optimization: a historical view of the field. Computational Intelligence Magazine, IEEE 1: 28-36.
-
(2006)
Computational Intelligence Magazine
, vol.1
, pp. 28-36
-
-
Coello Coello, C.A.1
-
20
-
-
0037016631
-
Theoretical and numerical constraint-handling techniques used with evolutionary algorithms: A survey of the state of the art
-
DOI 10.1016/S0045-7825(01)00323-1, PII S0045782501003231
-
Coello C, Carlos A (2002) Theoretical and numerical constraint-handling techniques used with evolutionary algorithms: a survey of the state of the art. Computer methods in applied mechanics and engineering 191: 1245-1287. (Pubitemid 34099386)
-
(2002)
Computer Methods in Applied Mechanics and Engineering
, vol.191
, Issue.11-12
, pp. 1245-1287
-
-
Coello, C.C.A.1
-
21
-
-
81955165132
-
Constraint-handling in nature-inspired numerical optimization: Past, present and future
-
Mezura-Montes E, Coello Coello CA (2011) Constraint-handling in nature-inspired numerical optimization: past, present and future. Swarm and Evolutionary Computation 1: 173-194.
-
(2011)
Swarm and Evolutionary Computation
, vol.1
, pp. 173-194
-
-
Mezura-Montes, E.1
Coello Coello, C.A.2
-
24
-
-
10444253956
-
Measures of diversity for populations and distances between individuals with highly reorganizable genomes
-
DOI 10.1162/1063656043138923
-
Mattiussi C, Waibel M, Floreano D (2004) Measures of diversity for populations and distances between individuals with highly reorganizable genomes. Evol Comput 12: 495-515. (Pubitemid 39634697)
-
(2004)
Evolutionary Computation
, vol.12
, Issue.4
, pp. 495-515
-
-
Mattiussi, C.1
Waibel, M.2
Floreano, D.3
-
25
-
-
78649830249
-
A dual-population genetic algorithm for adaptive diversity control
-
Park T, Ryu KR (2010) A dual-population genetic algorithm for adaptive diversity control. IEEE Transactions on Evolutionary Computation 14: 865-884.
-
(2010)
IEEE Transactions on Evolutionary Computation
, vol.14
, pp. 865-884
-
-
Park, T.1
Ryu, K.R.2
-
27
-
-
80054704800
-
Maintaining Healthy Population Diversity using Adaptive Crossover, Mutation and Selection
-
Ginley BM, Maher J, Riordan CO, Morgan F (2011) Maintaining Healthy Population Diversity using Adaptive Crossover, Mutation and Selection. IEEE Transactions on Evolutionary Computation 15: 692-714.
-
(2011)
IEEE Transactions on Evolutionary Computation
, vol.15
, pp. 692-714
-
-
Ginley, B.M.1
Maher, J.2
Riordan, C.O.3
Morgan, F.4
-
28
-
-
65449138398
-
Threshold-selecting strategy for best possible ground state detection with genetic algorithms
-
Lässig J, Hoffmann KH (2009) Threshold-selecting strategy for best possible ground state detection with genetic algorithms. Phys Rev E Stat Nonlin Soft Matter Phys 79: 046702.
-
(2009)
Phys Rev e Stat Nonlin Soft Matter Phys
, vol.79
, pp. 046702
-
-
Lässig, J.1
Hoffmann, K.H.2
-
29
-
-
57349092515
-
Threshold selecting: Best possible probability distribution for crossover selection in genetic algorithms
-
New York, NY, USA: ACM, GECCO '08, doi:10.1145/1388969.1389044
-
Lässig J, Hoffmann KH, Enachescu M (2008) Threshold selecting: best possible probability distribution for crossover selection in genetic algorithms. In: Proceedings of the 2008 GECCO conference companion on Genetic and evolutionary computation. New York, NY, USA: ACM, GECCO '08, pp. 2181-2186. doi:10.1145/1388969.1389044
-
(2008)
Proceedings of the 2008 GECCO Conference Companion on Genetic and Evolutionary Computation
, pp. 2181-2186
-
-
Lässig, J.1
Hoffmann, K.H.2
Enachescu, M.3
-
34
-
-
0031153826
-
The dynamics of adaptive behavior: A research program
-
Beer RD (1997) The dynamics of adaptive behavior: A research program. Robotics and Autonomous Systems 20: 257-289.
-
(1997)
Robotics and Autonomous Systems
, vol.20
, pp. 257-289
-
-
Beer, R.D.1
-
35
-
-
0033115654
-
System design by constraint adaptation and differential evolution
-
Storn R (1999) System design by constraint adaptation and differential evolution. IEEE Transactions on Evolutionary Computation 3: 22-34.
-
(1999)
IEEE Transactions on Evolutionary Computation
, vol.3
, pp. 22-34
-
-
Storn, R.1
-
36
-
-
84900399308
-
Viability evolution: Elimination and extinction in evolutionary computation
-
Technical Report, EPFL
-
Mattiussi C, Floreano D (2003) Viability evolution: elimination and extinction in evolutionary computation. (Technical Report, EPFL) EPFL-REPORT-177577, http://infoscience.epfl.ch/record/177577.
-
(2003)
EPFL-REPORT-177577
-
-
Mattiussi, C.1
Floreano, D.2
-
37
-
-
0003389370
-
The genitor algorithm and selection pressure: Why rank-based allocation of reproductive trials is best
-
Schaffer JD, editor, George Mason University
-
Whitley D (1989) The genitor algorithm and selection pressure: Why rank-based allocation of reproductive trials is best. In: Schaffer JD, editor, Proceedings of the third international conference on genetic algorithms, George Mason University. pp. 116-121.
-
(1989)
Proceedings of the Third International Conference on Genetic Algorithms
, pp. 116-121
-
-
Whitley, D.1
-
38
-
-
0036530772
-
A fast and elitist multiobjective genetic algorithm: NSGA-II
-
DOI 10.1109/4235.996017, PII S1089778X02041012
-
Deb K, Pratap A, Agarwal S, Meyarivan T (2002) A fast and elitist multiobjective genetic algorithm: Nsga-ii. IEEE Transactions on Evolutionary Computation 6: 182-197. (Pubitemid 34555372)
-
(2002)
IEEE Transactions on Evolutionary Computation
, vol.6
, Issue.2
, pp. 182-197
-
-
Deb, K.1
Pratap, A.2
Agarwal, S.3
Meyarivan, T.4
-
39
-
-
0031215763
-
Empirical investigation of multiparent recombination operators in evolution strategies
-
Eiben A, Bäck T (1997) Empirical investigation of multiparent recombination operators in evolution strategies. Evol Comput 5: 347-365. (Pubitemid 127718108)
-
(1997)
Evolutionary Computation
, vol.5
, Issue.3
, pp. 347-365
-
-
Eiben, A.E.1
Back, T.2
-
40
-
-
0036715627
-
A species conserving genetic algorithm for multimodal function optimization
-
Li JP, Balazs ME, Parks GT, Clarkson PJ (2002) A species conserving genetic algorithm for multimodal function optimization. Evol Comput 10: 207-34.
-
(2002)
Evol Comput
, vol.10
, pp. 207-234
-
-
Li, J.P.1
Balazs, M.E.2
Parks, G.T.3
Clarkson, P.J.4
-
41
-
-
33750250373
-
Comparison of multi-modal optimization algorithms based on evolutionary algorithms
-
Keijzer M, Cattolico M, Arnold D, Babovic V, Blum C, et al., editors, ACM Press
-
Singh G, Deb K (2006) Comparison of multi-modal optimization algorithms based on evolutionary algorithms. In: Keijzer M, Cattolico M, Arnold D, Babovic V, Blum C, et al., editors, GECCO 2006: Proceedings of the 8th annual conference on Genetic and evolutionary computation, ACM Press. pp. 1305-1312.
-
(2006)
GECCO 2006: Proceedings of the 8th Annual Conference on Genetic and Evolutionary Computation
, pp. 1305-1312
-
-
Singh, G.1
Deb, K.2
-
42
-
-
78149253344
-
Niche radius adaptation in the cma-es niching algorithm
-
Schaefer R, Cotta C, Kolodziej J, Rudolph G, editors, Springer
-
Shir OM, Thomas B (2006) Niche radius adaptation in the cma-es niching algorithm. In: Schaefer R, Cotta C, Kolodziej J, Rudolph G, editors, Parallel Problem Solving from Nature - PPSN XI, Springer, volume 4193. pp. 141-152.
-
(2006)
Parallel Problem Solving from Nature - PPSN XI
, vol.4193
, pp. 141-152
-
-
Shir, O.M.1
Thomas, B.2
-
47
-
-
0028272769
-
Notes on the simulation of evolution
-
Atmar W (1994) Notes on the simulation of evolution. IEEE Trans Neural Netw 5: 130-147.
-
(1994)
IEEE Trans Neural Netw
, vol.5
, pp. 130-147
-
-
Atmar, W.1
-
49
-
-
0033331753
-
Macroevolutionary algorithms: A new optimization method on fitness landscapes
-
Marín J, Solé R (1999) Macroevolutionary algorithms: A new optimization method on fitness landscapes. IEEE Transactions on Evolutionary Computation 3: 272-286.
-
(1999)
IEEE Transactions on Evolutionary Computation
, vol.3
, pp. 272-286
-
-
Marín, J.1
Solé, R.2
-
50
-
-
65449138398
-
Threshold-selecting strategy for best possible ground state detection with genetic algorithms
-
Lässig J, Hoffmann K (2009) Threshold-selecting strategy for best possible ground state detection with genetic algorithms. Physical Review E 79: 046702.
-
(2009)
Physical Review e
, vol.79
, pp. 046702
-
-
Lässig, J.1
Hoffmann, K.2
-
54
-
-
24344443010
-
Evolution and optimization of digital organisms
-
R . BK, Derohanes E, H . Brown I, editors, The Baldwin Press
-
Ray T (1991) Evolution and optimization of digital organisms. In: R . BK, Derohanes E, H . Brown I, editors, Scientific Excellence in Supercomputing: The IBM 1990 Contest Prize Papers, The Baldwin Press. pp. 489-531.
-
(1991)
Scientific Excellence in Supercomputing: The IBM 1990 Contest Prize Papers
, pp. 489-531
-
-
Ray, T.1
-
55
-
-
31144437286
-
Digital genetics: Unravelling the genetic basis of evolution
-
Adami C (2006) Digital genetics: unravelling the genetic basis of evolution. Nat Rev Genet 7: 109-118.
-
(2006)
Nat Rev Genet
, vol.7
, pp. 109-118
-
-
Adami, C.1
-
56
-
-
1842454622
-
Avida: A software platform for research in computational evolutionary biology
-
Ofria C, Wilke CO (2004) Avida: a software platform for research in computational evolutionary biology. Artif Life 10: 191-229.
-
(2004)
Artif Life
, vol.10
, pp. 191-229
-
-
Ofria, C.1
Wilke, C.O.2
-
57
-
-
0001703168
-
The science of breeding and its application to the breeder genetic algorithm
-
Mühlenbein H, Schlierkamp-Voosen D (1993) The science of breeding and its application to the breeder genetic algorithm. Evol Comput 1: 335-360.
-
(1993)
Evol Comput
, vol.1
, pp. 335-360
-
-
Mühlenbein, H.1
Schlierkamp-Voosen, D.2
-
61
-
-
84874610503
-
Exploiting open-endedness to solve problems through the search for novelty
-
Lehman J, Stanley KO (2008) Exploiting open-endedness to solve problems through the search for novelty. In: ALIFE. pp. 329-336.
-
(2008)
ALIFE
, pp. 329-336
-
-
Lehman, J.1
Stanley, K.O.2
-
62
-
-
0041376985
-
Genetic diversity as an objective in multi-objective evolutionary algorithms
-
DOI 10.1162/106365603766646816
-
Toffolo A, Benini E (2003) Genetic diversity as an objective in multi-objective evolutionary algorithms. Evol Comput 11: 151-167. (Pubitemid 37044183)
-
(2003)
Evolutionary Computation
, vol.11
, Issue.2
, pp. 151-167
-
-
Toffolo, A.1
Benini, E.2
-
64
-
-
0042879997
-
Reducing the time complexity of the derandomized evolution strategy with covariance matrix adaptation (CMA-ES)
-
DOI 10.1162/106365603321828970
-
Hansen N, Muller S, Koumoutsakos P (2003) Reducing the time complexity of the derandomized evolution strategy with covariance matrix adaptation (CMAES). Evolutionary Computation 11: 1-18. (Pubitemid 37044186)
-
(2003)
Evolutionary Computation
, vol.11
, Issue.1
, pp. 1-18
-
-
Hansen, N.1
Muller, S.D.2
Koumoutsakos, P.3
-
65
-
-
34248143032
-
Covariance matrix adaptation for multiobjective optimization
-
Igel C, Hansen N, Roth S (2007) Covariance matrix adaptation for multiobjective optimization. Evol Comput 15: 1-28.
-
(2007)
Evol Comput
, vol.15
, pp. 1-28
-
-
Igel, C.1
Hansen, N.2
Roth, S.3
-
67
-
-
0022031047
-
ACTIVE FILTER DESIGN USING OPERATIONAL TRANSCONDUCTANCE AMPLIFIERS: A TUTORIAL.
-
Geiger R, Sanchez-Sinencio E (1985) Active Filter Design using Operational Transconductance Amplifiers: A Tutorial, IEEE Circuits and Devices Magazine, volume 1. pp. 20-32. (Pubitemid 15597568)
-
(1985)
IEEE Circuits and Devices Magazine
, vol.1
, Issue.2
, pp. 20-32
-
-
Geiger, R.L.1
Sanchez-Sinencio, E.2
-
68
-
-
58349113041
-
A Generator for Multimodal Test Functions with Multiple Global Optima
-
Springer-Verlag
-
Rönkkönen J, Li X, Kyrki V, Lampinen J (2008) A Generator for Multimodal Test Functions with Multiple Global Optima. In: Simulated Evolution and Learning. Springer-Verlag, volume 3, pp. 239-248.
-
(2008)
Simulated Evolution and Learning
, vol.3
, pp. 239-248
-
-
Rönkkönen, J.1
Li, X.2
Kyrki, V.3
Lampinen, J.4
|