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ORCIDCEC 2020: Glasgow, United Kingdom
- IEEE Congress on Evolutionary Computation, CEC 2020, Glasgow, United Kingdom, July 19-24, 2020. IEEE 2020, ISBN 978-1-7281-6929-3
- Mila Goranova
, Marco A. Contreras-Cruz, Andrew Hoyle, Gabriela Ochoa:
Optimising Antibiotic Treatments with Multi-objective Population-based Algorithms. 1-7 - Jin Ho Go, Tony Jan, Manoranjan Mohanty, Om Prakash Patel, Deepak Puthal, Mukesh Prasad:
Visualization Approach for Malware Classification with ResNeXt. 1-7 - Ying Bi, Bing Xue, Mengjie Zhang:
Genetic Programming-Based Feature Learning for Facial Expression Classification. 1-8 - Paul Kaufmann, Roman Kalkreuth:
On the Parameterization of Cartesian Genetic Programming. 1-8 - Kei Nishihara, Masaya Nakata:
Competitive-Adaptive Algorithm-Tuning of Metaheuristics inspired by the Equilibrium Theory: A Case Study. 1-8 - Anna V. Kononova, Fabio Caraffini, Hao Wang, Thomas Bäck:
Can Single Solution Optimisation Methods Be Structurally Biased? 1-9 - Sebastián-José de-la-Cruz-Martínez, Efrén Mezura-Montes:
Boundary Constraint-Handling Methods in Differential Evolution for Mechanical Design Optimization. 1-8 - Rodrigo Corbelli, Marley M. B. R. Vellasco, Álvaro Veiga:
Investigating Optimal Regimes for Prediction in the Stock Market. 1-8 - Noe Elisa, Longzhi Yang, Fei Chao, Nitin Naik:
A Comparative Study of Genetic Algorithm and Particle Swarm optimisation for Dendritic Cell Algorithm. 1-8 - Ruba Abu Khurma, Ibrahim Aljarah, Ahmad Sharieh:
Rank Based Moth Flame optimisation for Feature Selection in the Medical Application. 1-8 - Marcelo Wuttig Friske, Luciana S. Buriol:
A Multi-Start Algorithm and a Large Neighborhood Search for a Maritime Inventory Routing Problem. 1-8 - Jiandong Liu, Ruibin Bai, Zheng Lu, Peiming Ge, Uwe Aickelin, Daoyun Liu:
Data-Driven Regular Expressions Evolution for Medical Text Classification Using Genetic Programming. 1-8 - Satsuki Nagae, Shin Kawai, Hajime Nobuhara:
Transfer Learning Layer Selection Using Genetic Algorithm. 1-6 - Yasinthara Madushani, Dharshana Kasthurirathna:
Incorporating Strategy Adoption into Genetic Algorithm Enabled Multi-Agent Systems. 1-8 - Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang:
A Threshold-free Classification Mechanism in Genetic Programming for High-dimensional Unbalanced Classification. 1-8 - Jianfeng Qiu, Jiangchuan Wan, Lei Zhang, Fan Cheng, Yongkang Luo:
Community-Grouping Based Particle Swarm optimisation Algorithm for Feature Selection. 1-8 - Mateus Roder, Gustavo Henrique de Rosa, João Paulo Papa, Fabricio Aparecido Breve:
Fine-Tuning Temperatures in Restricted Boltzmann Machines Using Meta-Heuristic Optimization. 1-8 - Igor Vatolkin:
Evolutionary Approximation of Instrumental Texture in Polyphonic Audio Recordings. 1-8 - Naveen Saini, Sushil Kumar, Sriparna Saha, Pushpak Bhattacharyya:
Mining Graph-based Features in Multi-objective Framework for Microblog Summarization. 1-8 - Saber M. Elsayed, Ruhul A. Sarker, Noha M. Hamza, Carlos A. Coello Coello, Efrén Mezura-Montes:
Enhancing Evolutionary Algorithms by Efficient Population Initialization for Constrained Problems. 1-8 - Ruihua Zeng, Zhixing Huang, Yongliang Chen, Jinghui Zhong, Liang Feng:
Comparison of Different Computing Platforms for Implementing Parallel Genetic Programming. 1-8 - Naoya Otaka, Yoshikazu Fukuyama, Yu Kawamura, Kenya Murakami, Adamo Santana, Tatsuya Iizaka, Tetsuro Matsui:
Refrigerated Showcase Fault Detection by a Pasting based Artificial Neural Networks using Parallel Multi-population Modified Brain Storm optimization and Correntropy. 1-8 - James Goodman, Simon Lucas:
Does it matter how well I know what you're thinking? Opponent Modelling in an RTS game. 1-8 - Qiansheng Yang, Jing Liu, Liqiang Li:
Path Planning of UAVs Under Dynamic Environment based on a Hierarchical Recursive Multiagent Genetic Algorithm. 1-8 - Aldy Gunawan, Audrey Tedja Widjaja, Pieter Vansteenwegen, Vincent F. Yu:
Adaptive Large Neighborhood Search for Vehicle Routing Problem with Cross-Docking. 1-8 - Maitena Tellaetxe-Abete, Borja Calvo, Charles Lawrie:
An Iterated Local Search Algorithm for the Clonal Deconvolution Problem. 1-8 - Leonard Kinnaird-Heether, Robert G. Reynolds:
Deep Social Learning in Dynamic Environments Using Subcultures and Auctions With Cultural Algorithms. 1-9 - Jakub Husa, Lukás Sekanina:
Evolving Cryptographic Boolean Functions with Minimal Multiplicative Complexity. 1-8 - Yangyan Xu, Chenxin Wu, Bingbing Jiang, Weiguo Sheng:
An Adaptive Water Wave Optimization Algorithm with Enhanced Wave Interaction. 1-8 - Zixu Wang, Jingxuan Wei, Yi Zhang:
A Multi-constraint Handling Techniquebased Niching Evolutionary Algorithm for Constrained Multi-objective optimization Problems. 1-6 - Fernando Lezama, Ricardo Faia, João P. Soares, Pedro Faria, Zita A. Vale:
Learning Bidding Strategies in Local Electricity Markets using Ant Colony optimization. 1-8 - Guilherme Seidyo Imai Aldeia, Fabrício Olivetti de França:
A Parametric Study of Interaction-Transformation Evolutionary Algorithm for Symbolic Regression. 1-8 - Xuezhou Fan, Ke Li, Kay Chen Tan:
Surrogate Assisted Evolutionary Algorithm Based on Transfer Learning for Dynamic Expensive Multi-Objective Optimisation Problems. 1-8 - Daniel Cinalli, Luis Martí, Nayat Sánchez-Pi, Ana Cristina Bicharra Garcia:
Extending Collective Intelligence Evolutionary Algorithms: A Facility Location Problem Application. 1-8 - An Song, Wei-Neng Chen, Xiao-Min Hu:
One-stage and Dual-heuristic Particle Swarm optimization for Virtual Network Embedding. 1-7 - Seyed Jalaleddin Mousavirad, Gerald Schaefer, Leila Esmaeili, Iakov Korovin:
On Improvements of the Human Mental Search Algorithm for Global Optimisation. 1-8 - Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang:
Genetic Programming with Noise Sensitivity for Imputation Predictor Selection in Symbolic Regression with Incomplete Data. 1-8 - Yuri Cossich Lavinas, Claus Aranha, Marcelo Ladeira, Felipe Campelo:
MOEA/D with Random Partial Update Strategy. 1-8 - Zifeng Zhou, Xiaoliang Ma, Zhengping Liang, Zexuan Zhu:
Multi-objective multi-factorial memetic algorithm based on bone route and large neighborhood local search for VRPTW. 1-8 - Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato:
Non-dominated Solution Sampling Using Environmental Selection in EMO algorithms. 1-9 - Antonio Bolufé Röhler, Stephen Chen:
A Multi-Population Exploration-only Exploitation-only Hybrid on CEC-2020 Single Objective Bound Constrained Problems. 1-8 - Joseph Billingsley, Ke Li, Wang Miao, Geyong Min, Nektarios Georgalas:
Routing-Led Placement of VNFs in Arbitrary Networks. 1-8 - Liang Qu, Huaisheng Zhu, Yuhui Shi:
BSOGCN: Brain Storm Optimization Graph Convolutional Networks Based Heterogeneous Information Networks Embedding. 1-7 - Ke Chen, Bing Xue, Mengjie Zhang, Fengyu Zhou:
Hybridising Particle Swarm optimisation with Differential Evolution for Feature Selection in Classification. 1-8 - Matteo Manzi, Massimiliano Vasile:
Discovering Unmodeled Components in Astrodynamics with Symbolic Regression. 1-7 - Ashish Mani, Anjali Jain:
Towards realistic mimicking of grey wolves hunting process for bounded single objective optimization. 1-8 - Tomofumi Kitamura, Alex Fukunaga:
Revisiting Success-Histories for Adaptive Differential Evolution. 1-8 - Zhenzhong Wang, Zhongrui Mei, Min Jiang, Gary G. Yen:
Knee Points based Transfer Dynamic Multi-objective optimization Evolutionary Algorithm. 1-7 - Tianye Shu, Ziqi Wang, Jialin Liu, Xin Yao:
A Novel CNet-assisted Evolutionary Level Repairer and Its Applications to Super Mario Bros. 1-10 - Su Nguyen, Dhananjay R. Thiruvady:
Evolving Large Reusable Multi-pass Heuristics for Resource Constrained Job Scheduling. 1-8 - Philipp Ginsel, Igor Vatolkin, Günter Rudolph:
Analysis of Structural Complexity Features for Music Genre Recognition. 1-8 - Bin Wang, Bing Xue, Mengjie Zhang:
Particle Swarm optimisation for Evolving Deep Neural Networks for Image Classification by Evolving and Stacking Transferable Blocks. 1-8 - Alejandro Rodríguez-Molina, Miguel Gabriel Villarreal-Cervantes, Omar Serrano-Pérez:
Asynchronous bio-inspired tuning for the DC motor speed controller with simultaneous identification and predictive strategies. 1-8 - Thiago R. Fraça, Péricles B. C. de Miranda, Ricardo B. C. Prudêncio, Ana C. Lorenaz, André C. A. Nascimento:
A Many-Objective optimization Approach for Complexity-based Data set Generation. 1-8 - Matheus R. D. Ullmann, Deller FJames, Celso G. Camilo-Junior, Tiago do Carmo Nogueira:
Group Composition for Collaborative Learning With Distributed Leadership in MOOCs Using Particle Swarm optimization. 1-10 - Ehsan Rokhsatyazdi, Shahryar Rahnamayan, Hossein Amirinia, Sakib Ahmed:
Optimizing LSTM Based Network For Forecasting Stock Market. 1-7 - Julian Blank, Kalyanmoy Deb:
A Running Performance Metric and Termination Criterion for Evaluating Evolutionary Multi- and Many-objective Optimization Algorithms. 1-8 - Partha P. Biswas, Ponnuthurai N. Suganthan:
Large Initial Population and Neighborhood Search incorporated in LSHADE to solve CEC2020 Benchmark Problems. 1-7 - Ferrante Neri, Yuyang Zhou:
Covariance Local Search for Memetic Frameworks: A Fitness Landscape Analysis Approach. 1-8 - Takumi Sonoda, Masaya Nakata:
MOEA/D-S3: MOEA/D using SVM-based Surrogates adjusted to Subproblems for Many objective optimization. 1-8 - Jiaxiang Yi, Yuansheng Cheng, Jun Liu:
An adaptive constraint-handling approach for optimization problems with expensive objective and constraints. 1-8 - Janez Brest, Mirjam Sepesy Maucec, Borko Boskovic:
Differential Evolution Algorithm for Single Objective Bound-Constrained Optimization: Algorithm j2020. 1-8 - Alex Gliesch, Marcus Ritt, Arthur H. S. Cruz, Mayron César O. Moreira:
A heuristic algorithm for districting problems with similarity constraints. 1-8 - Cheng He, Ran Cheng, Ye Tian, Xingyi Zhang:
Iterated Problem Reformulation for Evolutionary Large-Scale Multiobjective Optimization. 1-8 - Damla Yüksel, Mehmet Fatih Tasgetiren, Levent Kandiller, Quan-Ke Pan:
Metaheuristics for Energy-Efficient No-Wait Flowshops: A Trade-off Between Makespan and Total Energy Consumption. 1-8 - Christina Brester, Harri Niska, Robert Ciszek, Mikko Kolehmainen:
Weather-based Fault Prediction in Electricity Networks with Artificial Neural Networks. 1-8 - Hande Öztop, Mehmet Fatih Tasgetiren, Levent Kandiller, Quan-Ke Pan:
A Novel General Variable Neighborhood Search through Q-Learning for No-Idle Flowshop Scheduling. 1-8 - Fengyang Sun, Chunxiuzi Liu, Linping Wu, Lin Wang, Shuangrong Liu, Bo Yang:
A Novel Velocity Reinforced Mechanism on Improving Particle Swarm optimization for Ill-conditioned Problems. 1-8 - Santiago Valdés Ravelo, Cláudio N. Meneses, Eduardo A. J. Anacleto:
NP-hardness and evolutionary algorithm over new formulation for a Target Set Selection problem. 1-8 - Yuji Sato, Mikiko Sato, Mads A. Midtlyng, Minami Miyakawa:
Parallel and Distributed MOEA/D with Exclusively Evaluated Mating and Migration. 1-8 - Yao Wang, Zhiming Dong, Tenghui Hu, Xianpeng Wang:
An Improved MOEA/D Algorithm for the Carbon Black Production Line Static and Dynamic Multiobjective Scheduling Problem. 1-8 - David Griñán, Alfredo Ibias:
Generating Tree Inputs for Testing using Evolutionary Computation Techniques. 1-8 - Ranmsés Emanuel Martins Bastos, Marco César Goldbarg, Elizabeth Ferreira Gouvea Goldbarg, Matheus da Silva Menezes:
Evolutionary Algorithms for the Traveling Salesman with Multiple Passengers and High Occupancy Problem. 1-8 - Yifeng Li, Ying Tan:
Multi-Scale Collaborative Fireworks Algorithm. 1-8 - Pablo Moscato, Haoyuan Sun, Mohammad Nazmul Haque:
Analytic Continued Fractions for Regression: Results on 352 datasets from the physical sciences. 1-8 - Chun-Wei Tsai, Shin-Jui Liu:
Search Economics for Single-Objective Real-Parameter optimization. 1-7 - Michael Hellwig, Hans-Georg Beyer:
A Modified Matrix Adaptation Evolution Strategy with Restarts for Constrained Real-World Problems. 1-8 - Krzysztof Wójcik, Tomasz Kulpa, Krzysztof Trojanowski:
Variance of particle location in the stochastic model of PSO with inertia weight. 1-8 - Marco Tomassini:
Random Walks on Local Optima Networks. 1-8 - Tobias Jordan, Philippe De Wilde, Fernando Buarque de Lima Neto:
Decision making for two learning agents acting like human agents : A proof of concept for the application of a Learning Classifier Systems. 1-8 - Aidan Murphy, Conor Ryan:
Improving Module Identification and Use in Grammatical Evolution. 1-7 - José Eduardo Henriques da Silva, Heder S. Bernardino, Helio José Corrêa Barbosa, Alex Borges Vieira, Campos Luciana C. D., Itamar Leite de Oliveira:
Inferring Gene Regulatory Network Models from Time-Series Data Using Metaheuristics. 1-8 - Ting Huang, Yue-Jiao Gong, Xiaoyan Li, Xiao-Min Hu, Jun Zhang:
Niching Evolutionary Computation With a Priori Estimate for Solving Multi-Solution Traveling Salesman Problem. 1-6 - Wenjun Wang, Wei Pang, Paul A. Bingham, Mania Mania, Tzu-Yu Chen, Justin J. Perry:
Evolutionary Learning for Soft Margin Problems: A Case Study on Practical Problems with Kernels. 1-7 - Finn Schofield, Andrew Lensen:
Evolving Simpler Constructed Features for Clustering Problems with Genetic Programming. 1-8 - Paulo S. G. de Mattos Neto, Péricles B. C. de Miranda, George D. C. Cavalcanti, Tapas Si, Filipe R. Cordeiro, Mayara Castro:
Layers Sequence Optimizing for Deep Neural Networks using Multiples Objectives. 1-8 - Karam M. Sallam, Saber M. Elsayed, Ripon Kumar Chakrabortty, Michael J. Ryan:
Improved Multi-operator Differential Evolution Algorithm for Solving Unconstrained Problems. 1-8 - Okkes Tolga Altinöz:
Modeling of synchronous weapon target assignment problem for howitzer based defense line. 1-8 - Grasiele Regina Duarte, Beatriz Souza Leite Pires de Lima:
Differential Evolution variants combined in a Hybrid Dynamic Island Model. 1-8 - Hao Zhang, Tao Ku, Lianbo Ma, Yibo Yong:
Handling Constrained Multi-Objective optimization with Objective Space Mapping to Decision Space Based on Extreme Learning Machine. 1-7 - Guillaume Maître, Elio Tuci, Eliseo Ferrante:
Opinion dissemination in a swarm of simulated robots with stubborn agents: a comparative study. 1-6 - Hong Zhao, Zhi-Hui Zhan, Jun Zhang:
Adaptive Guidance-based Differential Evolution with Iterative Feedback Archive Strategy for Multimodal optimization Problems. 1-8 - Javier Gurrola-Ramos, Arturo Hernández Aguirre, Oscar Dalmau Cedeño:
COLSHADE for Real-World Single-Objective Constrained optimization Problems. 1-8 - Sheng-Long Jiang, Wei Tang, Wanzhe Hu:
A CMA-ES algorithm for solving the steelmaking scheduling problem involving time buffers. 1-8 - Jens Weise, Sebastian Mai, Heiner Zille, Sanaz Mostaghim:
On the Scalable Multi-Objective Multi-Agent Pathfinding Problem. 1-8 - Luyi Yang, Yazhong Luo, Haiyang Li, Jin Zhang, Zhen Yang, Yue-he Zhu:
A Fast Solution to Two-Impulse Lunar Transfer Trajectory based on Machine Learning Method. 1-8 - Simon Dennis, Andries P. Engelbrecht:
A Review and Empirical Analysis of Particle Swarm optimization Algorithms for Dynamic Multi-Modal optimization. 1-8 - Aurora Esteban, Amelia Zafra, Sebastián Ventura:
A Preliminary Study on Evolutionary Clustering for Multiple Instance Learning. 1-8 - Siddhartha Bhattacharyya, Tulika Dutta, Sandip Dey:
Multilevel Quantum Inspired Fractional Order Ant Colony Optimization for Automatic Clustering of Hyperspectral Images. 1-8 - Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
A Decomposition based Multi-objective Evolutionary Algorithm with ReliefF based Local Search and Solution Repair Mechanism for Feature Selection. 1-8 - Jorge M. Cruz-Duarte, Iván Amaya, José Carlos Ortiz-Bayliss, Santiago Enrique Conant-Pablos, Hugo Terashima-Marín:
A Primary Study on Hyper-Heuristics to Customise Metaheuristics for Continuous optimisation. 1-8 - Yang Shen, Jian Yang, Shi Cheng, Yuhui Shi:
BSO-AL: Brain Storm Optimization Algorithm with Adaptive Learning Strategy. 1-7 - Ramses Sala, Ralf Müller:
Benchmarking for Metaheuristic Black-Box Optimization: Perspectives and Open Challenges. 1-8 - Danilo Pelusi, Raffaele Mascella, Luca G. Tallini:
A fitness dependent salp swarm algorithm. 1-6 - Jun Yu, Ben Niu:
Simplified Bacterial Foraging optimization Based on Reverse Chemotaxis Strategy. 1-6 - Pratyusha Rakshit, Archana Chowdhury, Amit Konar, Atulya K. Nagar:
Migration in Multi-Population Differential Evolution for Many Objective Optimization. 1-8 - Claudio Lucio do Val Lopes, Flávio Vinícius Cruzeiro Martins, Elizabeth F. Wanner:
An Assignment Problem Formulation for Dominance Move Indicator. 1-8 - Syed Mohtashim Abbas Bokhari, Oliver E. Theel:
A Genetic Programming-Based Multi-Objective Optimization Approach to Data Replication Strategies for Distributed Systems. 1-9 - Léo Souquet, Nadiya Shvai, Arcadi Llanza, Amir Nakib:
Hyperparameters optimization for neural network training using Fractal Decomposition-based Algorithm. 1-6 - Varun Ojha, Giuseppe Nicosia:
Multi-Objective Optimisation of Multi-Output Neural Trees. 1-8 - Joseph Alexander Brown, Daniel A. Ashlock, Sheridan K. Houghten, Angelo Romualdo:
Evolutionary Graph Compression and Diffusion Methods for City Discovery in Role Playing Games. 1-8 - Luis Filipe de Araujo Pessoa, Bernd Hellingrath, Fernando Buarque de Lima Neto:
Cartesian Genetic Programming Hyper-Heuristic with Parameter Configuration for Production Lot-Sizing. 1-8 - Lorenzo Gentile, Elisa Morales, Domenico Quagliarella, Edmondo A. Minisci, Thomas Bartz-Beielstein, Renato Tognaccini:
High-Lift Devices Topology Optimisation using Structured-Chromosome Genetic Algorithm. 1-9 - Andrew Dong, Daniel A. Ashlock:
Clustering Julia Set Examples to Enhance Evolution of Fractal Parameters. 1-8 - Hajira Jabeen, Jonas Weinz, Jens Lehmann:
AutoChef: Automated Generation of Cooking Recipes. 1-7 - Ravneil Nand, Kaylash Chaudhary, Bibhya Sharma:
Stepping ahead based hybridization of meta-heuristic model for solving Global Optimization Problems. 1-8 - Alimed Celecia Ramos, Marley M. B. R. Vellasco:
Chaotic Quantum-inspired Evolutionary Algorithm: enhancing feature selection in BCI. 1-8 - Azam Asilian Bidgoli, Steven Trumble, Shahryar Rahnamayan:
Discovering Numerous Strassen's Equivalent Equations Using a Simple Micro Multimodal GA: Evolution in Action. 1-8 - Jiangtao Shen, Peng Wang, Xinjing Wang:
Managing Radial Basis Functions for Evolutionary Many-Objective optimization. 1-8