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52. A Multi-Population Multi-Objective Evolutionary Algorithm Based on the Contribution of Decision Variables to Objectives for Large-Scale Multi/Many-Objective Optimization

55. Establishment of experimental salivary gland cancer models using organoid culture and patient-derived xenografting

61. Greedy Approximation Algorithms for Generalized Maximum Flow Problem towards Relation Extraction in Information Networks

64. Difficulty in Evolutionary Multiobjective Optimization of Discrete Objective Functions with Different Granularities

65. Relation between Neighborhood Size and MOEA/D Performance on Many-Objective Problems

66. Ensemble Fuzzy Rule-Based Classifier Design by Parallel Distributed Fuzzy GBML Algorithms

67. Recombination of Similar Parents in SMS-EMOA on Many-Objective 0/1 Knapsack Problems

68. Mobile Robot Controller Design by Evolutionary Multiobjective Optimization in Multiagent Environments

69. Effects of the Existence of Highly Correlated Objectives on the Behavior of MOEA/D

73. Parallel Distributed Implementation of Genetics-Based Machine Learning for Fuzzy Classifier Design

74. Many-Objective Test Problems to Visually Examine the Behavior of Multiobjective Evolution in a Decision Space

75. How to Choose Solutions for Local Search in Multiobjective Combinatorial Memetic Algorithms

78. Adaptation of Scalarizing Functions in MOEA/D: An Adaptive Scalarizing Function-Based Multiobjective Evolutionary Algorithm

81. Multiobjective Classification Rule Mining

83. Use of Local Ranking in Cellular Genetic Algorithms with Two Neighborhood Structures

84. Use of Heuristic Local Search for Single-Objective Optimization in Multiobjective Memetic Algorithms

85. Examining the Effect of Elitism in Cellular Genetic Algorithms Using Two Neighborhood Structures

88. Optimization of Scalarizing Functions Through Evolutionary Multiobjective Optimization

91. Finding Simple Fuzzy Classification Systems with High Interpretability Through Multiobjective Rule Selection

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

93. Incorporation of Scalarizing Fitness Functions into Evolutionary Multiobjective Optimization Algorithms

95. Effects of Removing Overlapping Solutions on the Performance of the NSGA-II Algorithm

98. Experimental models of salivary gland cancer established using organoid culture and patient-derived xenografting

99. GPR56 C‐terminal fragment mediates signal received by N‐terminal fragment of another adhesion GPCR Latrophilin1 in neurons.

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