Titlebook: Bio-Inspired Computing: Theories and Applications; 17th International C Linqiang Pan,Dongming Zhao,Jianqing Lin Conference proceedings 2023

物質(zhì)

Research on Multi-modal Multi-objective Path Planning by Improved Ant Colonye has been proposed in this paper. Secondly, using the characteristics of the Dijkstra algorithm that can quickly find the optimal path, generate an initial feasible solution about the problem, and improve the problem that the initial pheromone of ant colony algorithm is insufficient and searching f

libertine

An Improved Harris Hawk Optimization Algorithm Based on?Spiral Search and?Neighborhood Perturbation jump out of the local optimum. CEC2021 test function and 8 classic test functions are used to demonstrate the effectiveness of the proposed method. Compared with the basic HHO and the other improved swarm intelligence algorithms, the results show that the proposed algorithm has better global search

DUST

主動(dòng)脈

A Self-adaptive Single-Objective Multitasking Optimization Algorithmnd effectively utilize valuable solutions in tasks to improve the efficiency of knowledge transfer between tasks. Experimental results on single-objective multitasking optimization benchmark problems indicate that SAMTOA outperforms the other the state-of-the-art EMTO algorithms.

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同時(shí)發(fā)生

Research on Unmanned Ship Collision Avoidance Algorithm Based on Improved Particle Swarm Optimizatioo that the optimal obstacle avoidance strategy can be calculated through the optimization of the particle swarm optimization algorithm. The simulation research simulates the complex environment at sea and selects typical encounter situations in the maritime rules for testing. The simulation results

antecedence

URN

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