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In one of our studies the objective of the Agent is to generate molecules that are predicted to be active against a biological target.
The objective of the agent is to minimize over investment strategies a criterion of the form: begin{array}rcl@ J alpha) &=& mathbb{E} left[ frac{lambda}{2} text{Var}left(X_{T}|W^{0}right) - mathbb{E}left[X_{T}|W^{0}right] right], end{array}.
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The objective of this agent is to filter the appropriate measures according to the user needs from those presented in the literature (See Table 1 in related work) and save them in the knowledge base for further use.
Have anomalies validated : the only objective of this agent is to verify if all the possible anomalies detected by individual body part nodes are actually true anomalies.
We propose a centralized fuzzy framework for sensing and translating environmental changes to the changes in autonomy levels and objectives of the agents.
The aim of the protocol is to minimize the makespan, i.e. the maximum completion time of the tasks, while the objective of each agent is to minimize the completion time of its task and thus an agent may lie if by doing so, his task may finish earlier.
The objective of each agent is to maximize his/her utility, i.e., the distance from the facility.
In the energy-coordination process, the proposed system solves the global optimal-energy distribution plan of the system by considering the self-constraint and control objective of each agent and by using the improved particle swarm algorithm to achieve the maximum economic benefit on the basis of stable operations.
Here, similarly, for each agent, first, the best matching agent is found, and then, its opinion is updated (using equation (2)) if the fitness of the best-matching neighbor is better (i.e., it results in a lower value in the objective function) than that of the agent.
The objective of agent localization is to obtain the Cartesian positions (boldsymbol {p}_{i}~=~(p_{x,i}, p_{y,i})^{intercal }) or (boldsymbol {p}_{i}~=~(p_{x,i}, p_{y,i},p_{z,i})^{intercal }) of all agents (iin mathcal {V}) from noisy distance measurements (cf. Eq. (1)).
The objective of consumer agents is to minimize the expense without jeopardizing their load demand.
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