-- Evolutionary Computation & Swarm Intelligence. -- Collaborative Scheduling of Multi-cloud Distributed Multi-cloud Tasks based on Evolutionary Multi-tasking Algorithm. -- Transfer Learning based Evolutionary Multi-Task Optimization. -- A Surrogate-based Optimization Method for Solving Economic Emission Dispatch Problems with Green Certificate Trading and Wind Power. -- MODMOA: A Novel Multi-Objective Optimization Algorithm for Unmanned Aerial Vehicle Path Planning. -- Decomposed Multi-objective Method Based on Q-learning for Solving Multi-objective Combinatorial Optimization. -- Binary Multi-Objective Hybrid Equilibrium Optimizer Algorithm for Microarray Data. -- Difference Vector Angle Dominance with an Angle Threshold for Expensive Multi-objective Optimization. -- A Non-Uniform Clustering Based Evolutionary Algorithm for Solving Large-Scale Sparse Multi-[Objective Optimization. -- An Improved MOEA/D with Pareto Frontier Individual Selection Based on Weight Vector Angles. -- A Two-operator Hybrid DE for Global Numerical Optimization. -- Reinforcement Learning-based Differential Evolution Algorithm with Levy Flight. -- Hierarchical Competitive Differential Evolution for Global Optimization. -- A Hybrid Response Strategy for Dynamic Constrained Multi-objective Optimization. -- An Adaptive Knowledge Transfer Strategy for Evolutionary Dynamic Multi-objective Optimization. -- Multiobjective Biological Survival Optimizer with Application in Engineering Problems. -- Dynamic Constrained Robust Optimization Over Time for Operational Indices of Pre-Oxidation Process. -- Comparison of CLPSO, ECLPSO and ACLPSO on CEC2013 Multimodal Benchmark Functions. -- A Non Dominant Sorting Algorithm with Dual Population Dynamic Collaboration. -- Dynamic Constrained Multi-Objective Operation Optimization of Blast Furnace Based on Evolutionary Algorithm. -- HGADC: Hierarchical Genetic Algorithm with Density-Based Clustering for TSP. -- Transformer Surrogate Genetic Programming for Dynamic Container Port Truck Dispatching. -- Membrane Computing & DNA Computing. -- Design and Realization of Encoders Based on Switching Circuit. -- GSA-inspired Computational Nanobiosensing for Cancer Detection. -- Text Encryption Scheme Based on Chaotic Map and DNA Strand Displacement. -- Numerical P systems with thresholds and Petri nets. -- An efficient graph theoretic algorithm for channel routing in VLSI design with given constraint graph. -- Extremal Values of Generalized Somber Index in Chemical Graphs. -- Study on the Genetic Links between Type 2 Diabetes Mellitus and Glioma by Bioinformatics. -- An investigation into the use of DNA strand displacement reaction networks for subset sum problem solutions. -- Convolutional Codes Based Index-Free Coding Strategy for High-Density DNA Storage.

The two-volume set CCIS 2061 and 2062 constitutes the refereed post-conference proceedings of the 18th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2023, held in Changsha, China, during December 15-17, 2023. The 64 revised full papers presented in these proceedings were carefully reviewed and selected from 168 submissions. The papers are organized in the following topical sections: Volume I: Evolutionary Computation and Swarm Intelligence; and Membrane Computing and DNA Computing Volume II: Machine Learning and Applications; and Intelligent Control and Application.