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CEC 2023: Chicago, IL, USA
- IEEE Congress on Evolutionary Computation, CEC 2023, Chicago, IL, USA, July 1-5, 2023. IEEE 2023, ISBN 979-8-3503-1458-8
- Amit Banerjee:
Robust Density-Based Data Clustering Using a Quantum-Inspired Genetic Algorithm. 1-7 - Shaolong Shi, Yifan Chen, Zhaoyang Jiang, Qiang Liu, Jurong Ding, Qingfu Zhang:
A Novel Computational Nanobiosensing Approach to Improve the Exploitation of In Vivo Computation. 1-7 - Rui Zhong, Binan Tu, Enzhi Zhang, Masaharu Munetomo:
Adjacent Intensity Matrix with Linkage Identification for Large-Scale Optimization in Noisy Environments. 1-10 - Gaofeng Shi, Fangfang Zhang, Yi Mei:
Interpretability-Aware Multi-Objective Genetic Programming for Scheduling Heuristics Learning in Dynamic Flexible Job Shop Scheduling. 1-8 - Chun-Yien Chang, Ying-ping Chen:
Investigating Style Forming and Twisting by Adapting AntsOMG for Composing Second Species Counterpoint. 1-8 - Arcadi Llanza, Fekhr Eddine Keddous, Nadiya Shvai, Amir Nakib:
Deep Learning Models Compression Based on Evolutionary Algorithms and Digital Fractional Differentiation. 1-9 - Christopher Olson, Lars Wagner, Alexander Dockhorn:
Evolutionary Optimization of Baba Is You Agents. 1-8 - Kevin Schuetz, Christoph G. Schuetz, Samuel Jaburek:
Privacy-Preserving Implementation of Local Search Algorithms for Collaboratively Solving Assignment Problems in Time-Critical Contexts. 1-10 - Yang Nan, Tianye Shu, Hisao Ishibuchi:
Effects of External Archives on the Performance of Multi-Objective Evolutionary Algorithms on Real-World Problems. 1-8 - Vasco Coelho, Daniele M. Papetti, Andrea Tangherloni, Paolo Cazzaniga, Daniela Besozzi, Marco S. Nobile:
The Domination Game: Dilating Bubbles to Fill Up Pareto Fronts. 1-8 - Yixiang Gao, Guilherme N. DeSouza, Mark Berardi, Maria Dietrich:
Removal of Confounding Factors using GA-SVM Feature Adaptation: Application on Detection of Vocal Fatigue thru sEMG Classification. 1-6 - Bernhard J. Berger, Christina Plump, Rolf Drechsler:
EVOAL: A Domain-Specific Language-Based Approach to Optimisation. 1-10 - Thomas Feutrier, Nadarajen Veerapen, Marie-Eléonore Kessaci:
When Simpler is Better: Automated Configuration of a University Timetabling Solver. 1-8 - Chengmin Wu, Ye Tian, Yajie Zhang, Hao Jiang, Xing-yi Zhang:
A Sparsity-Guided Elitism Co-Evolutionary Framework for Sparse Large-Scale Multi-Objective Optimization. 1-8 - Liang Zhao, Qingfu Zhang:
Exact Formulas for the Computation of Expected Tchebycheff Improvement. 1-8 - Rikitaka Kinoyama, Nagar Anthel Venkatesh Suryanarayanan, Hitoshi Iba:
Continual Learning of LSTM Using Ant Colony Optimization. 1-8 - Daifeng Zhang, Jiliang Zhang, Yong Wang:
Game Based Pigeon-Inspired Optimization with Repository Assistance for Stochastic Optimizations with Uncertain Infeasible Search Regions. 1-8 - Eduardo Manuel Ceja-Cruz, Adriana Menchaca-Méndez, Elizabeth Montero, Saúl Zapotecas Martínez:
An Archive-Based Multi-Objective Simulated Annealing Algorithm for the Time/Weight-Balanced Cluster Problem in Delivery Logistics. 1-8 - Oladayo S. Ajani, Dzeuban Fenyom Ivan, Rammohan Mallipeddi:
Gaussian Adaptation with Decaying Matrix Adaptation Weights. 1-7 - Tanja Katharina Kaiser, Tristan Potten, Heiko Hamann:
Evolution of Collective Decision-Making Mechanisms for Collective Perception. 1-8 - Nguyen Thi Tam, Do Duc Anh, Tran Huy Hung, Pham Van Hanh, Huynh Thi Thanh Binh, Le Trong Vinh:
Genetic Programming for Resource Allocation in Network Function Virtualization. 1-8 - Giovanni Acampora, Autilia Vitiello:
A Competent Memetic Algorithm for Error Mitigation in Quantum Measurement. 1-8 - Yifan Qin, Libao Deng, Chunlei Li, Wenyin Gong:
A Historical Information Based Differential Evolution. 1-8 - Bernardo Morales-Castañeda, Diego Oliva, Mario A. Navarro, Alfonso Ramos-Michel, Arturo Valdivia, Ángel Casas-Ordaz, Erick Rodríguez-Esparza, Seyed Jalaleddin Mousavirad:
Improving the Convergence of the PSO Algorithm with a Stagnation Variable and Fuzzy Logic. 1-8 - Chenyu Geng, Zhiwei Yan, Caiyun Zhu, Wei Ji, Fei Li:
Multi-qubit Bacterial Foraging Optimization Based Pilot Assignment and Access Point Selection in Cell-Free Massive MIMO. 1-8 - Ryuki Ishizawa, Tomoya Kuga, Yusuke Maekawa, Hiroyuki Sato, Keiki Takadama:
Toward Unbounded Search Space Exploration by Particle Swarm Optimization in Multi-Modal Optimization Problem. 1-8 - Xinyi Feng, Tong Shen, Huaijin Zhang, Haipeng Yang, Lei Zhang:
Multi-Objective Optimization of Critical Node Detection Based on Both Cascading and Non-Cascading Scenarios in Complex Networks. 1-9 - Yanhui Tang, Hui Li, Yuxiang Shui, Jianyong Sun:
A Modified MOEA/D Based on Guided Search Directions for Large-scale Multiobjective Optimization. 1-8 - Nikolay O. Nikitin, Sergey Teryoshkin, Valerii Pokrovskii, Sergey Pakulin, Denis A. Nasonov:
Improvement of Computational Performance of Evolutionary AutoML in a Heterogeneous Environment. 1-8 - Rocío Salinas-Guerra, Efrén Mezura-Montes, Marcela Quiroz-Castellanos, Jesús-Adolfo Mejía-de-Dios, Slim Bechikh:
A Hybrid Evolutionary Approach with Group-Based Solution Encoding for Solving the Constrained Bilevel Multi-Depot Vehicle Routing Problem. 1-8 - Kaoutar Senhaji, Carlos A. Coello Coello, José Antonio Lozano:
An Improved Version of MMOEA/DC Based on Alternative Clustering Definitions. 1-9 - Mingke Chen, Wei Du:
A Novel Cooperative Co-Evolutionary Framework for Large-Scale Overlapping Problems. 1-8 - Imanol Unanue, María Merino, José Antonio Lozano:
The Natural Bias of Artificial Instances. 1-8 - Rui Jorge Almeida, Nalan Bastürk, Paulo Rodrigues:
Portfolio Re-Balancing and Optimization Using Directional Changes and Genetic Algorithms. 1-8 - Jingyu Chen, John Oyekan:
Behavioural Swarm Optimisation for Stable Slung-Load Aerial Transportation. 1-8 - Gerardo Humberto Valencia-Rivera, José Carlos Ortiz-Bayliss, Jorge M. Cruz-Duarte, Iván Amaya, Juan Gabriel Aviña-Cervantes:
Hyper-Heuristics Meet Controller Design: Improving Electrical Grid Performance through Microgrids. 1-8 - Yu-Chi Jiang, Ming-Ho Chang, Yu-Yu Chang, Kun-Min Wu, Po-Chun Chen, Yong Feng Tong, Yun-Ting Lai, Shu-Yu Kuo, Yao-Hsin Chou:
Trend Ratio-Based Portfolio Optimization Model Adopting Entanglement-enhanced Quantum-Inspired Evolutionary Computation in the Global Financial Markets. 1-9 - Danielle Notice, Ahmed Kheiri, Nicos G. Pavlidis:
The Algorithm Selection Problem for Solving Sudoku with Metaheuristics. 1-8 - Ozgur Salman, Themistoklis Melissourgos, Michael Kampouridis:
Optimization of Trading Strategies Using a Genetic Algorithm Under the Directional Changes Paradigm with Multiple Thresholds. 1-8 - Wenji Li, Ruitao Mai, Pengxiang Ren, Zhaojun Wang, Qinchang Zhang, Ning Xu, Biao Xu, Zhun Fan, Zhifeng Hao:
A Surrogate-Ensemble Assisted Coevolutionary Algorithm for Expensive Constrained Multi-Objective Optimization Problems. 1-7 - Xinpeng Long, Michael Kampouridis, Panagiotis Kanellopoulos:
Multi-Objective Optimisation and Genetic Programming for Trading by Combining Directional Changes and Technical Indicators. 1-8 - Yi-Ruei Chen, Chuan-Kang Ting:
Adjusting Infeasible Regions in the Constrained Multiobjective Optimization Problem. 1-8 - Rung-Tzuo Liaw, Yu-Ting Lo:
Evolutionary Multitask Reinforcement Learning Using Symbiosis in Biocoenosis Optimization. 1-8 - Jing Liu, Hemant K. Singh, Saber M. Elsayed, Robert A. Hunjet, Hussein A. Abbass:
Effective Robotic Swarm Shepherding in the Presence of Obstacles. 1-8 - Leonardo Da Luz Dorneles, Mateus Boiani, Márcio Dorn:
Benchmark Problems on GPU: Accelerating Experiments on Metaheuristics. 1-8 - Xiangzhou Gao, Shenmin Song, Jingyi Dong:
An Elite-Guided Evolutionary Algorithm for Large-Scale Multi-Objective Optimization. 1-8 - Elizaveta Ivanchik, Alexander Hvatov:
Directed Differential Equation Discovery Using Modified Mutation and Cross-Over Operators. 1-10 - Mohammad Sadegh Khorshidi, Danial Yazdani, Jacek Mandziuk, Mohammad Reza Nikoo, Amir H. Gandomi:
A Filter-Based Feature Selection and Ranking Approach to Enhance Genetic Programming for High-Dimensional Data Analysis. 1-9 - Ilya Pershin, Tamerlan Mustafaev, Bulat Ibragimov:
Contrastive Learning Approach to Predict Radiologist's Error Based on Gaze Data. 1-6 - Qingshan Tan, Changhe Li, Sanyou Zeng, Shengxiang Yang:
A Subspace-Based Non-Dominated Subset Selection Method. 1-8 - Phoenix Neale Williams, Ke Li, Geyong Min:
A Surrogate Assisted Evolutionary Strategy for Image Approximation by Density-Ratio Estimation. 1-8 - Sávio Menezes Sampaio, Altino Dantas, Celso G. Camilo-Junior:
IVF/NSGA-III - In Vitro Fertilization Method Coupled to NSGA-III. 1-8 - Gejie Rang, Biao Xu, Wenji Li, Zhun Fan, Yuanping Su:
A Long Short-Term Memory Prediction-Based Dynamic Multi-Objective Evolutionary Optimization Algorithm. 1-8 - Fengyang Sun, Hui Ma, Gang Chen, Sven Hartmann:
IoT Service Composition - An Estimation of Distribution Algorithm with Adaptive Bias. 1-8 - Yifan Li, Jing Liu, Yang Liu:
Surrogate-Assisted Evolution of Convolutional Neural Networks by Collaboratively Optimizing the Basic Blocks and Topologies. 1-9 - Jingwei Li, Yuanjun Lin, Mustafa Misir:
Neural Network Based Heuristic Selection for Selection Hyper-Heuristics. 1-7 - Anastasiia Filatova, Mikhail V. Kovalchuk, Stanislav Batalenkov, Aleksander Voskresenskiy, Irina Deeva, Anna V. Kaluzhnaya, Aleksei Shpilman, Natalia Kondrashova, Maxim Dudnichenko, Denis A. Nasonov:
A Multi-Contractor Approach for MLRCPSP with the Graph Structure Optimization. 1-8 - Giovanni Acampora, Angela Chiatto, Autilia Vitiello:
A Comparison of Evolutionary Algorithms for Training Variational Quantum Classifiers. 1-8 - Imen Dhief, Mir Feroskhan, Sameer Alam, Nimrod Lilith, Daniel Delahaye:
Meta-Heuristics Approach for Arrival Sequencing and Delay Absorption Through Automated Vectoring. 1-8 - Giovanni Acampora, Roberto Schiattarella:
On the Effect of Quantum Noise in Quantum Genetic Algorithms. 1-8 - Rasa Khosrowshahli, Shahryar Rahnamayan:
Block Differential Evolution. 1-8 - Maiyue Chen, Ying Tan:
FWA-RL: Fireworks Algorithm with Policy Gradient for Reinforcement Learning. 1-9 - Yan Lieven Souza Lúcio, Viviana Cocco Mariani, Leandro dos Santos Coelho:
Multi-Objective Grouped Grey Wolf Optimization of PID Controllers Applied to a Water Treatment Plant Model. 1-8 - Yuxiang Shui, Hui Li, Jianyong Sun, Qingfu Zhang:
The Combination of MOEA/D and WOF for Solving High-Dimensional Expensive Multiobjective Optimization Problems. 1-8 - Gabriel Dominico, Juliana S. Bernardes, Leonardo L. Dorneles, Márcio Dorn:
Multi-Objective Wrapper Differential Evolution with Guided Initial Population for Feature Selection. 1-8 - Giovanni Acampora, Angela Chiatto, Luigi Coraggio, Giovanni De Gregorio, Roberto Schiattarella, Autilia Vitiello:
Genetic Algorithms for Constructing Effective Nuclear Shell-Model Hamiltonians. 1-8 - Jia-Quan Yang, Ke-Jing Du, Chun-Hua Chen, Hua Wang, Jun Zhang, Zhi-Hui Zhan:
Evolutionary Multitasking Bi-Directional Particle Swarm Optimization for High-Dimensional Feature Selection. 1-8 - Liang Jin, Xinwei Lu, Yilin Fang, Kunlun Li:
Applying Multi-Fidelity Optimization for Process Parameter Optimization in Polymerization Process of Carbon Fiber Production. 1-8 - Andrew Pozzuoli, Brian Ross:
Increasing Features in MAP-Elites Using an Age-Layered Population Structure. 1-8 - Son Tran Thai, Rui Jorge Almeida, Christof Defryn:
Order Picking: Exploring the Properties of the Greedy Seed-Based Batching Algorithm. 1-8 - Antonio Bolufé Röhler, Wangwei Han:
A Data-Centric Approach to Parameter Tuning, an Application to Differential Evolution. 1-9 - Dawei Zhan, Yuqian Gui, Tianrui Li:
An Anisotropic Expected Improvement Criterion for Kriging-Assisted Evolutionary Computation. 1-8 - Minh Hua, John W. Sheppard:
Evolving Intertask Mappings for Transfer in Reinforcement Learning. 1-8 - Andersson A. Da Silva, Ricardo M. A. Silva, Amanda S. Xavier, Thiago Dias Bispo, Geraldo R. Mateus, Mauricio G. C. Resende:
cudaBRKGA-CNN: An Approach for Optimizing Convolutional Neural Network Architectures. 1-8 - Zheng Guo, Zhaoping Yu, Wenbin Pei, Chuan Wang, Yaqing Hou, Chenchen Zhang, Zexuan Zhu, Xianneng Li:
A Knowledge Transfer-Based Genetic Algorithm for Multi-Target Robotic Arm Control. 1-8 - Paolo Arcaini, Ezequiel Castellano, Fuyuki Ishikawa, Hirokazu Kawamoto, Kaoru Sawai, Eiichi Muramoto:
Incremental Search-Based Allocation of Autonomous Robots for Goods Delivery. 1-10 - Farzaneh Nikbakhtsarvestani, Azam Asilian Bidgoli, Mehran Ebrahimi, Shahryar Rahnamayan:
Multi-Objective Coordinate Search Optimization. 1-9 - Yilin Fang, Ziheng Zhao, Liang Jin, Kunlun Li:
Modified Robust Optimization Over Time for Process Parameter Optimization in Pre-Oxidation Process of Carbon Fiber Production. 1-8 - Bing Wang, Hemant Kumar Singh, Tapabrata Ray:
An Evaluation of Simple Solution Transfer Strategies for Bilevel Multiobjective Optimization. 1-8 - Meyssa Zouambi, Clarisse Dhaenens, Julie Jacques:
An Alternative Pareto-Based Approach to Multi-Objective Neural Architecture Search. 1-8 - Michael Stimson, William Reid, Aneta Neumann, Simon Ratcliffe, Frank Neumann:
Improving Confidence in Evolutionary Mine Scheduling via Uncertainty Discounting. 1-10 - Yiwen Wang, Fei Liu, Qingfu Zhang:
A Decomposition-Based Hybrid Algorithm for Multi-objective Vehicle Routing Problem with Time Windows. 1-8 - Yuto Kobayashi, Yoshikazu Fukuyama, Kojiro Seki, Akihiro Oi, Hotaka Yoshida, Toru Jintsugawa, Hisashi Fujimoto:
Transposition Point Optimization for Voltage Unbalance Mitigation in Electric Power Distribution Systems by Integer Form of Population-Based Incremental Learning. 1-6 - Haoran Gu, Handing Wang, Yaochu Jin:
Effects of Pareto Set on the Performance of Problem Reformulation-Based Large-Scale Multiobjective Optimization Algorithms. 1-8 - Corentin Juvigny, Julien Baste, Guillaume Lozenguez, Arnaud Doniec, Laetitia Jourdan:
A Hybrid Genetic Approach for Bi-Level Flexible Job Shops Arising from Selective Deconstruction. 1-8 - Chunlei Li, Libao Deng, Wenyin Gong, Liyan Qiao:
A Many-objective Evolutionary Algorithm Based on Hybrid Dynamic Decomposition. 1-8 - Jiangtao Shen, Peng Wang, Huachao Dong, Wenxin Wang:
Expensive Many-Objective Optimization by Learning of the Strengthened Dominance Relation. 1-8 - Zhenjian Yu, Wei-Li Liu, Jinghui Zhong, Ting Huang, Xu Lu, Zhiyong Lin:
An Efficient Multitasking Ant Colony Optimization Framework. 1-8 - Vicente P. Soloviev, Pedro Larrañaga, Concha Bielza:
Variational Quantum Algorithm Parameter Tuning with Estimation of Distribution Algorithms. 1-9 - Chang-Shing Lee, Mei-Hui Wang, Chih-Yu Chen, Fu-Jie Yang, Alexander Dockhorn:
Genetic Assessment Agent for High-School Student and Machine Co-Learning Model Construction on Computational Intelligence Experience. 1-8 - Hao Yan, Lu Zhang, Xiaoyu Wang, Qingping Liu, Mengjun Gu, Weiguo Sheng:
Differential Evolution with Clustering-based Niching and Adaptive Mutation for Global Optimization. 1-8 - Yuan Li, Xiaofen Lu, Xin Yao:
Negatively Correlated Search for Constrained Optimization. 1-10 - Khaoula Zaimen, Mohamed-el-Amine Brahmia, Laurent Moalic, Abdelhafid Abouaissa, Lhassane Idoumghar:
A Comparative Study of Meta-Heuristic Algorithms for WSN Deployment Problem in Indoor Environments. 1-8 - Heba Abdel-Nabi, Mostafa Z. Ali, Arafat Awajan, Rami Alazrai, Mohammad I. Daoud, Ponnuthurai N. Suganthan, Robert G. Reynolds:
3-sCHSL: Three-Stage Cyclic Hybrid SFS and L-SHADE Algorithm for Single Objective Optimization. 1-8 - Ana Nikolikj, Michal Pluhacek, Carola Doerr, Peter Korosec, Tome Eftimov:
Sensitivity Analysis of RF+clust for Leave-One-Problem-Out Performance Prediction. 1-8 - Yan Lieven Souza Lúcio, Luiza Scapinello Aquino da Silva, Viviana Cocco Mariani, Leandro dos Santos Coelho:
Manta Ray Foraging Optimization Approaches on Multivariable PID Controller Tuning. 1-8 - Kamrul Hasan Rahi, Hemant Kumar Singh, Tapabrata Ray:
A Generalized Surrogate-Assisted Evolutionary Algorithm for Expensive Multi-Objective Optimization. 1-8 - Per Kristian Lehre, Shishen Lin:
Is CC-(1+1) EA More Efficient than (1+1) EA on Separable and Inseparable Problems? 1-9 - Alonso Vela, Jorge M. Cruz-Duarte, José Carlos Ortiz-Bayliss, Iván Amaya:
Recursive Hyper-Heuristics for the Job Shop Scheduling Problem. 1-8 - Shiqing Liu, Xilu Wang, Yaochu Jin:
Federated Bayesian Optimization for Privacy-Preserving Neural Architecture Search. 1-8 - Daigo Yamamoto, Haruki Yoshida, Yoshiki Kobayashi, Isao Ono:
Sequential Estimation of States and Parameters of Non-Linear State Space Models Taking Account of Ensembles Not Covering True States. 1-8 - Luchen Wang, Ye Tian, Xiaoshu Xiang, Xingyi Zhang:
Optimizing Large-Scale Distribution Center Locations During the COVID-19 Quarantine. 1-8 - Giovanni Acampora, Angela Chiatto, Stefano de Luca, Roberta Di Pace, Alfredo Massa, Roberto Schiattarella, Autilia Vitiello:
Application of Quantum Genetic Algorithms to Network Signal Setting Design. 1-8 - Manel Jerbi, Zaineb Chelly Dagdia, Slim Bechikh, Lamjed Ben Said:
Immune-Based System to Enhance Malware Detection. 1-8 - Deepanshu Yadav, Palaniappan Ramu, Kalyanmoy Deb:
Finding Robust Solutions for Many-Objective Optimization Using NSGA-III. 1-8 - Gregorio Toscano, Hoda Razavi, A. Pouyan Nejadhashemi, Kalyanmoy Deb, Lewis C. Linker:
Utilizing Innovization to Solve Large-Scale Multi-Objective Chesapeake Bay Watershed Problem. 1-8 - Ankur Sinha, Paritosh Pankaj:
A Linear Programming Enhanced Genetic Algorithm for Hyperparameter Tuning in Machine Learning. 1-8 - Alanna McNulty, Beatrice M. Ombuki-Berman:
A Comparative Study of Multi-Guide Particle Swarm Optimization Topologies in Dynamic Multi-Objective Environments. 1-10 - Bernardo Morales-Castañeda, Diego Oliva, Ángel Casas-Ordaz, Arturo Valdivia, Mario A. Navarro, Alfonso Ramos-Michel, Erick Rodríguez-Esparza, Seyed Jalaleddin Mousavirad:
A Novel Diversity-Aware Inertia Weight and Velocity Control for Particle Swarm Optimization. 1-8 - Renlong Chen, Ying Tan:
Efficient Multi-Agent Exploration with Mutual-Guided Actor-Critic. 1-9 - Yaqi Ti, Changhe Li, Shengxiang Yang:
A Test Suite and An Optimizer for Dietary Nutrition Optimization Problem: From Constrained Many-Objective Perspective. 1-8 - Shu-Yu Kuo, Yu-Chi Jiang, Yun-Ting Lai, Yao-Hsin Chou:
A New Portfolio Optimization Model Considering Hybrid Trading Strategies. 1-10 - Bryan Zhu, Wei-Fang Xie:
An Improved Genetic Algorithm With Euclidean Geometry and Hybrid Heuristic Crossover for Traveling Salesman Problem. 1-8 - Frank Neumann, Aneta Neumann, Chao Qian, Anh Viet Do, Jacob de Nobel, Diederick Vermetten, Saba Sadeghi Ahouei, Furong Ye, Hao Wang, Thomas Bäck:
Benchmarking Algorithms for Submodular Optimization Problems Using IOHProfiler. 1-9 - Sheng-Hao Wu, Jian-Yu Li, Zhi-Hui Zhan, Jun Zhang:
Multi-View Transfer with Marginal and Conditional Alignment for Many-Task Optimization. 1-8 - Rihab Said, Slim Bechikh, Carlos A. Coello Coello, Lamjed Ben Said:
Solving the Discretization-based Feature Construction Problem using Bi-level Evolutionary Optimization. 1-8 - Jinlin Jiang, Yongchao Chen, Wenbin Pei, Junxiang Zhang, Yaqing Hou, Hongwei Ge, Liang Feng:
Surrogate-Assisted Morphology Optimization by Genetic Algorithms. 1-8 - Juan Carlos Benjamín Somohano-Murrieta, Efrén Mezura-Montes, Marcela Quiroz-Castellanos:
A new solution encoding scheme for solving the Flexible Job-Shop Scheduling Problem. 1-8 - Hong Zhao, Xiangqian Li, Jing Liu:
A Reachability-Distance Based Differential Evolution With Individual Transfer for Multimodal Optimization Problems. 1-8 - Jyotheesh Gaddam, Jan Carlo Barca, Thanh Thi Nguyen, Maia Angelova:
Grammatical Evolution with Adaptive Building Blocks for Traffic Light Control. 1-10 - Liam J. S. McDevitt, Kyle Robert Harrison, Beatrice M. Ombuki-Berman:
A Framework for Meta-heuristic Parameter Performance Prediction Using Fitness Landscape Analysis and Machine Learning. 1-8 - Mahmoud Golabi, Mokhtar Essaid, Muhammad Sulaman, Lhassane Idoumghar:
Extreme Learning Machine-based Genetic Algorithm for the facility location problem with distributed demands on network edges. 1-8 - Xiaotong Liu, Chaoli Sun, Hao Wang:
A New Infill Criterion Based on Sorting of Approximation Uncertainty for Expensive Evolutionary Many-objective Optimization. 1-8
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