A Powerful Genetic Algorithm Using Edge Assembly Crossover for the Traveling Salesman Problem von Nagata, Yuichi, Kobayashi, Shigenobu

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Theoretical Foundation for CMA-ES from Information Geometry Perspective von Akimoto, Youhei, Nagata, Yuichi, Ono, Isao, Kobayashi, Shigenobu

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A new weather-routing system that accounts for ship stability based on a real-coded genetic algorithm von Maki, Atsuo, Akimoto, Youhei, Nagata, Yuichi, Kobayashi, Shigenobu, Kobayashi, Eiichi, Shiotani, Shigeaki, Ohsawa, Teruo, Umeda, Naoya

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Bidirectional Relation between CMA Evolution Strategies and Natural Evolution Strategies von Akimoto, Youhei, Nagata, Yuichi, Ono, Isao, Kobayashi, Shigenobu

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The Frontiers of Real-coded Genetic Algorithms von Kobayashi, Shigenobu

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Exploitation-Oriented Learning PS-r von Miyazaki, Kazuteru, Kobayashi, Shigenobu

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Algorithmic Learning Theory: 4th International Workshop, ALT '93 Tokyo, Japan, November 8–10, 1993 Proceedings von Jantke, Klaus P, Kobayashi, Shigenobu, Tomita, Etsuji, Yokomori, Takashi

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Adaptive Weighted Aggregation 2: More scalable AWA for multiobjective function optimization von Hamada, Naoki, Nagata, Yuichi, Kobayashi, Shigenobu, Ono, Isao

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On scalability of Adaptive Weighted Aggregation for multiobjective function optimization von Hamada, Naoki, Nagata, Yuichi, Kobayashi, Shigenobu, Ono, Isao

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Large-scale k-means clustering with user-centric privacy-preservation von Sakuma, Jun, Kobayashi, Shigenobu

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Reinforcement Learning for Penalty Avoidance in Continuous State Spaces von Miyazaki, Kazuteru, Kobayashi, Shigenobu

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GA Based on the UV-Structure Hypothesis and Its Application to JSP von Ikeda, Kokolo, Kobayashi, Shigenobu

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Adaptive weighted aggregation: A multiobjective function optimization framework taking account of spread and evenness of approximate solutions von Hamada, N, Nagata, Y, Kobayashi, S, Ono, I

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Functional-Specialization Multi-Objective Real-Coded Genetic Algorithm: FS-MOGA von Hamada, Naoki, Sakuma, Jun, Kobayashi, Shigenobu, Ono, Isao

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A new framework taking account of multi-funnel functions for Real-coded Genetic Algorithms von Uemura, Kento, Kinoshita, Shun-ichi, Nagata, Yuichi, Kobayashi, Shigenobu, Ono, Isao

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Constraint-Handling Method for Multi-objective Function Optimization: Pareto Descent Repair Operator von Harada, Ken, Sakuma, Jun, Ono, Isao, Kobayashi, Shigenobu

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Deterministic Multi-step Crossover Fusion: A Handy Crossover Composition for GAs von Ikeda, Kokolo, Kobayashi, Shigenobu

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A Memetic Algorithm for the Pickup and Delivery Problem with Time Windows Using Selective Route Exchange Crossover von Nagata, Yuichi, Kobayashi, Shigenobu

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Rationality of reward sharing in multi-agent reinforcement learning von Miyazaki, Kazuteru, Kobayashi, Shigenobu

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A new real-coded genetic algorithm using the adaptive selection network for detecting multiple optima von Oshima, D., Miyamae, A., Sakuma, J., Kobayashi, S., Ono, I.

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