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139 results on '"Thomas, Philip A."'

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1. Exploring Therapeutic Potential of Indian Ayurvedic Plants for Parkinson’s Disease Treatment

4. Learning Probabilistic Constraints for Surgery Scheduling Using a Support Vector Machine

12. Approximating Probabilistic Constraints for Surgery Scheduling Using Neural Networks

13. Deep Preference Neural Network for Move Prediction in Board Games

15. Estimating Temperatures in Compartment Fires

17. Ordinal Regression in Evolutionary Computation

18. Determining the Characteristic of Difficult Job Shop Scheduling Instances for a Heuristic Solution Method

19. Pilot, Rollout and Monte Carlo Tree Search Methods for Job Shop Scheduling

20. Learning Heuristic Policies – A Reinforcement Learning Problem

21. Supervised Learning Linear Priority Dispatch Rules for Job-Shop Scheduling

24. Entropy-Driven Evolutionary Approaches to the Mastermind Problem

25. Finding Better Solutions to the Mastermind Puzzle Using Evolutionary Algorithms

30. Constrained Evolutionary Optimization by Approximate Ranking and Surrogate Models

31. Reducing Random Fluctuations in Mutative Self-adaptation

32. Evolution of Gene Coordination Networks

35. A Selecto-recombinative Genetic Algorithm with Continuous Chromosome Reconfiguration

36. Speeding Up Evolutionary Algorithms Through Restricted Mutation Operators

37. Exploiting Expert Knowledge in Genetic Programming for Genome-Wide Genetic Analysis

38. Local Meta-models for Optimization Using Evolution Strategies

39. Starting from Scratch: Growing Longest Common Subsequences with Evolution

40. A Particle Swarm Optimizer for Constrained Numerical Optimization

41. Effects of Using Two Neighborhood Structures in Cellular Genetic Algorithms for Function Optimization

42. Self-regulated Population Size in Evolutionary Algorithms

43. Is Self-adaptation of Selection Pressure and Population Size Possible? – A Case Study

44. Assortative Mating Drastically Alters the Magnitude of Error Thresholds

45. Lamar: A New Pseudorandom Number Generator Evolved by Means of Genetic Programming

46. Probabilistic Adaptive Mapping Developmental Genetic Programming (PAM DGP): A New Developmental Approach

47. The Importance of Neutral Mutations in GP

48. New Order-Based Crossovers for the Graph Coloring Problem

49. Evolving Bin Packing Heuristics with Genetic Programming

50. Offspring Generation Method Using Delaunay Triangulation for Real-Coded Genetic Algorithms

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