Ma J. (2008), Research on Cultural Algorithm for Solving Routing Problem of Mobile Agent, The Journal of China Universities of Posts and Telecommunications, ISSN:1002- 1310 , 15(4): 121-125.Ma;Jun;Zhang;Jian-pei;Yang;Jing.Research on cultural algorithm for solving routing problem of mobile...
The mobile agent routing problem The distributed computation model based on a mobile agent routing problem can overcome not only drawbacks of the traditional client/server scheme, but also the flexibility, the stability, the extensibility of the ant colony system are suitable well for solving complex...
The algorithm mentioned was used for solving the problem of cooperative Markovs games as one of the models of Markov based multi-agent systems. The results of experiments Indicated that the proposed algorithms perform better than the existing algorithms in terms of speed and accuracy of reaching ...
Using a knowledge-based approach we adjust a knowledge-based algorithm for multi-agent communication for the process of cooperative problem solving (CPS). The knowledge-based algorithm for multi-agent communication [1] solves the sequenc... E Baars,R Verbrugge - Springer Berlin Heidelberg 被引量:...
Tabular methods for reinforcement learning algorithm reinforcement-learning q-learning reinforcement-learning-algorithms sarsa gridworld policy-evaluation policy-iteration value-iteration reinforcement-learning-agent tabular-q-learning gridworld-environment sarsa-learning q-learning-vs-sarsa cliffwalking gridworld-cl...
We apply a new but simple approach – competitive algorithm for on-line problem (called On-line multi-CBR agent dispatching algorithm) to determine the dispatching policy to keep comparative low cost. The corresponding on-line dispatching algorithm is proposed and the competitive ratio is given. ...
Shaheen et al.57integrated a novel amalgamated heap-based agent with jellyfish optimizer (AHJFO) to optimize combined heat and power economic dispatch (CHPED). They improved the efficiency of two newly developed techniques: the heap-based optimizer (HBO) and JSO. AHJFO incorporates an adjustment...
An efficient Harris Hawk optimization algorithm for solving the travelling salesman problem. Clust. Comput. MAY 2021, 1–25 (2021). Google Scholar Mohammadzadeh, H. & Gharehchopogh, F. S. A multi-agent system based for solving high-dimensional optimization problems: A case study on email ...
Artificial bee colony algorithmMulti-agent cooperative designNP hard problemSwarm intelligenceTask assignmentRobert Merton's norm of communalism states that ... Daniel,Hans-Dieter - 《Learned Publishing》 被引量: 105发表: 2005年 Solving Sudoku Puzzles Using Improved Artificial Bee Colony Algorithm Sudoku...
A support vector machine (SVM) is a statistical learning classifier that relies on information search for the intent of an agent. The literature (Vallon et al., 2017) proposes a classifier autonomous lane changing algorithm based SVM. Several SVMs are trained using data from human drivers' ...