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Found 3,644 Documents (Results 1–100)

Partition crossover can linearize local optima lattices of k-bounded pseudo-Boolean functions. (English) Zbl 07809173

Chicano, Francisco (ed.) et al., Proceedings of the 17th ACM/SIGEVO workshop on foundations of genetic algorithms, FOGA 2023, Potsdam, Germany, August 30 – September 1, 2023. New York, NY: Association for Computing Machinery (ACM). 152-162 (2023).
MSC:  68T20 68W50 90C59
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First complexity results for evolutionary knowledge transfer. (English) Zbl 07809172

Chicano, Francisco (ed.) et al., Proceedings of the 17th ACM/SIGEVO workshop on foundations of genetic algorithms, FOGA 2023, Potsdam, Germany, August 30 – September 1, 2023. New York, NY: Association for Computing Machinery (ACM). 140-151 (2023).
MSC:  68T20 68W50 90C59
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Neural networks as black-box benchmark functions optimized for exploratory landscape features. (English) Zbl 07809171

Chicano, Francisco (ed.) et al., Proceedings of the 17th ACM/SIGEVO workshop on foundations of genetic algorithms, FOGA 2023, Potsdam, Germany, August 30 – September 1, 2023. New York, NY: Association for Computing Machinery (ACM). 129-139 (2023).
MSC:  68T20 68W50 90C59
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Convergence properties of the \((\mu/\mu_i,\lambda)\)-ES on the Rastrigin function. (English) Zbl 07809170

Chicano, Francisco (ed.) et al., Proceedings of the 17th ACM/SIGEVO workshop on foundations of genetic algorithms, FOGA 2023, Potsdam, Germany, August 30 – September 1, 2023. New York, NY: Association for Computing Machinery (ACM). 117-128 (2023).
MSC:  68T20 68W50 90C59
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Self-adaptation can improve the noise-tolerance of evolutionary algorithms. (English) Zbl 07809169

Chicano, Francisco (ed.) et al., Proceedings of the 17th ACM/SIGEVO workshop on foundations of genetic algorithms, FOGA 2023, Potsdam, Germany, August 30 – September 1, 2023. New York, NY: Association for Computing Machinery (ACM). 105-116 (2023).
MSC:  68T20 68W50 90C59
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Fixed-parameter tractability of the (1 + 1) evolutionary algorithm on random planted vertex covers. (English) Zbl 07809168

Chicano, Francisco (ed.) et al., Proceedings of the 17th ACM/SIGEVO workshop on foundations of genetic algorithms, FOGA 2023, Potsdam, Germany, August 30 – September 1, 2023. New York, NY: Association for Computing Machinery (ACM). 96-104 (2023).
MSC:  68T20 68W50 90C59
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General Boolean function benchmark suite. (English) Zbl 07809167

Chicano, Francisco (ed.) et al., Proceedings of the 17th ACM/SIGEVO workshop on foundations of genetic algorithms, FOGA 2023, Potsdam, Germany, August 30 – September 1, 2023. New York, NY: Association for Computing Machinery (ACM). 84-95 (2023).
MSC:  68T20 68W50 90C59
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Runtime analysis of a co-evolutionary algorithm. Overcoming negative drift in maximin-optimisation. (English) Zbl 07809166

Chicano, Francisco (ed.) et al., Proceedings of the 17th ACM/SIGEVO workshop on foundations of genetic algorithms, FOGA 2023, Potsdam, Germany, August 30 – September 1, 2023. New York, NY: Association for Computing Machinery (ACM). 73-83 (2023).
MSC:  68T20 68W50 90C59
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First steps towards a runtime analysis of neuroevolution. (English) Zbl 07809165

Chicano, Francisco (ed.) et al., Proceedings of the 17th ACM/SIGEVO workshop on foundations of genetic algorithms, FOGA 2023, Potsdam, Germany, August 30 – September 1, 2023. New York, NY: Association for Computing Machinery (ACM). 61-72 (2023).
MSC:  68T20 68W50 90C59
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Weighted mutation of connections to mitigate search space limitations in Cartesian genetic programming. (English) Zbl 07809164

Chicano, Francisco (ed.) et al., Proceedings of the 17th ACM/SIGEVO workshop on foundations of genetic algorithms, FOGA 2023, Potsdam, Germany, August 30 – September 1, 2023. New York, NY: Association for Computing Machinery (ACM). 50-60 (2023).
MSC:  68T20 68W50 90C59
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Using automated algorithm configuration for parameter control. (English) Zbl 07809163

Chicano, Francisco (ed.) et al., Proceedings of the 17th ACM/SIGEVO workshop on foundations of genetic algorithms, FOGA 2023, Potsdam, Germany, August 30 – September 1, 2023. New York, NY: Association for Computing Machinery (ACM). 38-49 (2023).
MSC:  68T20 68W50 90C59
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Finding antimagic labelings of trees by evolutionary search. (English) Zbl 07809162

Chicano, Francisco (ed.) et al., Proceedings of the 17th ACM/SIGEVO workshop on foundations of genetic algorithms, FOGA 2023, Potsdam, Germany, August 30 – September 1, 2023. New York, NY: Association for Computing Machinery (ACM). 27-37 (2023).
MSC:  68T20 68W50 90C59
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Curing ill-conditionality via representation-agnostic distance-driven perturbations. (English) Zbl 07809161

Chicano, Francisco (ed.) et al., Proceedings of the 17th ACM/SIGEVO workshop on foundations of genetic algorithms, FOGA 2023, Potsdam, Germany, August 30 – September 1, 2023. New York, NY: Association for Computing Machinery (ACM). 15-26 (2023).
MSC:  68T20 68W50 90C59
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Rigorous runtime analysis of diversity optimization with GSEMO on OneMinMax. (English) Zbl 07809160

Chicano, Francisco (ed.) et al., Proceedings of the 17th ACM/SIGEVO workshop on foundations of genetic algorithms, FOGA 2023, Potsdam, Germany, August 30 – September 1, 2023. New York, NY: Association for Computing Machinery (ACM). 3-14 (2023).
MSC:  68T20 68W50 90C59
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Bridging theory and practice in evolutionary computation? (English) Zbl 07809159

Chicano, Francisco (ed.) et al., Proceedings of the 17th ACM/SIGEVO workshop on foundations of genetic algorithms, FOGA 2023, Potsdam, Germany, August 30 – September 1, 2023. New York, NY: Association for Computing Machinery (ACM). 2 (2023).
MSC:  68T20 68W50 90C59
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Analyzing the Fourier representation of permutation-based combinatorial optimization problems. (English) Zbl 07809158

Chicano, Francisco (ed.) et al., Proceedings of the 17th ACM/SIGEVO workshop on foundations of genetic algorithms, FOGA 2023, Potsdam, Germany, August 30 – September 1, 2023. New York, NY: Association for Computing Machinery (ACM). 1 (2023).
MSC:  68T20 68W50 90C59
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Proceedings of the 17th ACM/SIGEVO workshop on foundations of genetic algorithms, FOGA 2023, Potsdam, Germany, August 30 – September 1, 2023. (English) Zbl 07807068

New York, NY: Association for Computing Machinery (ACM) (ISBN 979-8-4007-0202-0). vi, 162 p. (2023).
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On the effect of solution representation and neighborhood definition in AutoML fitness landscapes. (English) Zbl 07787624

Pérez Cáceres, Leslie (ed.) et al., Evolutionary computation in combinatorial optimization. 23rd European conference, EvoCOP 2023, held as part of EvoStar 2023, Brno, Czech Republic, April 12–14, 2023. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 13987, 227-243 (2023).
MSC:  68W50 90C27 90C59
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Decision/objective space trajectory networks for multi-objective combinatorial optimisation. (English) Zbl 07787623

Pérez Cáceres, Leslie (ed.) et al., Evolutionary computation in combinatorial optimization. 23rd European conference, EvoCOP 2023, held as part of EvoStar 2023, Brno, Czech Republic, April 12–14, 2023. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 13987, 211-226 (2023).
MSC:  68W50 90C27 90C59
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Multi-objectivization relaxes multi-funnel structures in single-objective NK-landscapes. (English) Zbl 07787622

Pérez Cáceres, Leslie (ed.) et al., Evolutionary computation in combinatorial optimization. 23rd European conference, EvoCOP 2023, held as part of EvoStar 2023, Brno, Czech Republic, April 12–14, 2023. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 13987, 195-210 (2023).
MSC:  68W50 90C27 90C59
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The cost of randomness in evolutionary algorithms: crossover can save random bits. (English) Zbl 07787621

Pérez Cáceres, Leslie (ed.) et al., Evolutionary computation in combinatorial optimization. 23rd European conference, EvoCOP 2023, held as part of EvoStar 2023, Brno, Czech Republic, April 12–14, 2023. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 13987, 179-194 (2023).
MSC:  68W50 90C27 90C59
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OneMax is not the easiest function for fitness improvements. (English) Zbl 07787620

Pérez Cáceres, Leslie (ed.) et al., Evolutionary computation in combinatorial optimization. 23rd European conference, EvoCOP 2023, held as part of EvoStar 2023, Brno, Czech Republic, April 12–14, 2023. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 13987, 162-178 (2023).
MSC:  68W50 90C27 90C59
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Cooperative coevolutionary genetic programming hyper-heuristic for budget constrained dynamic multi-workflow scheduling in cloud computing. (English) Zbl 07787619

Pérez Cáceres, Leslie (ed.) et al., Evolutionary computation in combinatorial optimization. 23rd European conference, EvoCOP 2023, held as part of EvoStar 2023, Brno, Czech Republic, April 12–14, 2023. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 13987, 146-161 (2023).
MSC:  68W50 90C27 90C59
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A policy-based learning beam search for combinatorial optimization. (English) Zbl 07787618

Pérez Cáceres, Leslie (ed.) et al., Evolutionary computation in combinatorial optimization. 23rd European conference, EvoCOP 2023, held as part of EvoStar 2023, Brno, Czech Republic, April 12–14, 2023. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 13987, 130-145 (2023).
MSC:  68W50 90C27 90C59
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Evolutionary strategies for the design of binary linear codes. (English) Zbl 07787617

Pérez Cáceres, Leslie (ed.) et al., Evolutionary computation in combinatorial optimization. 23rd European conference, EvoCOP 2023, held as part of EvoStar 2023, Brno, Czech Republic, April 12–14, 2023. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 13987, 114-129 (2023).
MSC:  68W50 90C27 90C59
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Monte Carlo tree search with adaptive simulation: a case study on weighted vertex coloring. (English) Zbl 07787616

Pérez Cáceres, Leslie (ed.) et al., Evolutionary computation in combinatorial optimization. 23rd European conference, EvoCOP 2023, held as part of EvoStar 2023, Brno, Czech Republic, April 12–14, 2023. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 13987, 98-113 (2023).
MSC:  68W50 90C27 90C59
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Application of negative learning ant colony optimization to the far from most string problem. (English) Zbl 07787615

Pérez Cáceres, Leslie (ed.) et al., Evolutionary computation in combinatorial optimization. 23rd European conference, EvoCOP 2023, held as part of EvoStar 2023, Brno, Czech Republic, April 12–14, 2023. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 13987, 82-97 (2023).
MSC:  68W50 90C27 90C59
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A memetic algorithm for deinterleaving pulse trains. (English) Zbl 07787614

Pérez Cáceres, Leslie (ed.) et al., Evolutionary computation in combinatorial optimization. 23rd European conference, EvoCOP 2023, held as part of EvoStar 2023, Brno, Czech Republic, April 12–14, 2023. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 13987, 66-81 (2023).
MSC:  68W50 90C27 90C59
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A multilevel optimization approach for large scale battery exchange station location planning. (English) Zbl 07787613

Pérez Cáceres, Leslie (ed.) et al., Evolutionary computation in combinatorial optimization. 23rd European conference, EvoCOP 2023, held as part of EvoStar 2023, Brno, Czech Republic, April 12–14, 2023. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 13987, 50-65 (2023).
MSC:  68W50 90C27 90C59
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Real-world vehicle routing using adaptive large neighborhood search. (English) Zbl 07787612

Pérez Cáceres, Leslie (ed.) et al., Evolutionary computation in combinatorial optimization. 23rd European conference, EvoCOP 2023, held as part of EvoStar 2023, Brno, Czech Republic, April 12–14, 2023. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 13987, 34-49 (2023).
MSC:  68W50 90C27 90C59
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Application of Adapt-CMSA to the two-echelon electric vehicle routing problem with simultaneous pickup and deliveries. (English) Zbl 07787611

Pérez Cáceres, Leslie (ed.) et al., Evolutionary computation in combinatorial optimization. 23rd European conference, EvoCOP 2023, held as part of EvoStar 2023, Brno, Czech Republic, April 12–14, 2023. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 13987, 16-33 (2023).
MSC:  68W50 90C27 90C59
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Fairer comparisons for travelling salesman problem solutions using hash functions. (English) Zbl 07787610

Pérez Cáceres, Leslie (ed.) et al., Evolutionary computation in combinatorial optimization. 23rd European conference, EvoCOP 2023, held as part of EvoStar 2023, Brno, Czech Republic, April 12–14, 2023. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 13987, 1-15 (2023).
MSC:  68W50 90C27 90C59
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Evolutionary computation in combinatorial optimization. 23rd European conference, EvoCOP 2023, held as part of EvoStar 2023, Brno, Czech Republic, April 12–14, 2023. Proceedings. (English) Zbl 1528.90005

Lecture Notes in Computer Science 13987. Cham: Springer (ISBN 978-3-031-30034-9/pbk; 978-3-031-30035-6/ebook). xiv, 245 p. (2023).
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Evolutionary multi-criterion optimization. 12th international conference, EMO 2023, Leiden, the Netherlands, March 20–24, 2023. Proceedings. (English) Zbl 1515.90007

Lecture Notes in Computer Science 13970. Cham: Springer (ISBN 978-3-031-27249-3/pbk; 978-3-031-27250-9/ebook). xix, 636 p. (2023).
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A theoretical analysis on the bound violation probability in differential evolution algorithm. (English) Zbl 1521.90114

Georgiev, Ivan (ed.) et al., Numerical methods and applications. 10th international conference, NMA 2022, Borovets, Bulgaria, August 22–26, 2022. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 13858, 233-245 (2023).
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Swarm intelligence and evolutionary computation. Theory, advances and applications in machine learning and deep learning. (English) Zbl 1510.68005

Boca Raton, FL: CRC Press/Science Publishers (ISBN 978-1-032-16250-8/hbk; 978-1-032-16251-5/pbk; 978-1-003-24774-6/ebook). xiii, 203 p. (2023).
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Genetic programming theory and practice XIX. Proceedings of the workshop, GPTP 2022, University of Michigan, Ann Arbor, MI, USA, June 2–4, 2022. (English) Zbl 1515.68050

Genetic and Evolutionary Computation. Singapore: Springer (ISBN 978-981-19-8459-4/hbk; 978-981-19-8462-4/pbk; 978-981-19-8460-0/ebook). xiv 262 p. (2023).
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Optimization methods. Introduction to classical, nature analogous and neural optimizations. (Optimierungsmethoden. Einführung in die klassischen, naturanalogen und neuronalen Optimierungen.) (German) Zbl 07670614

Wiesbaden: Springer Vieweg (ISBN 978-3-658-39854-5/pbk; 978-3-658-39855-2/ebook). xxii, 408 p. (2023).
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Handbook of metaheuristic algorithms. From fundamental theories to advanced applications. (English) Zbl 07639977

Uncertainty, Computational Techniques, and Decision Intelligence. Amsterdam: Elsevier/Academic Press (ISBN 978-0-443-19108-4/pbk; 978-0-443-19109-1/ebook). xxxi 584 p. (2023).
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Evolutionary multi-task optimization. Foundations and methodologies. (English) Zbl 1518.68002

Machine Learning: Foundations, Methodologies, and Applications. Singapore: Springer (ISBN 978-981-19-5649-2/hbk; 978-981-19-5652-2/pbk; 978-981-19-5650-8/ebook). x, 219 p. (2023).
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