Many real world decision-making problems need to accomplish many objectives: minimize cost, maximize reliability, minimize deviations from desire levels, minimize risk, etc.
The implemented monitoring procedures and diagnostic facilities have the following results: prevent key components damages, extend critical components life-time, improve overall system performance and reliability, minimize off-line analysis effort and maintenance costs, allow remote plant check, diagnosis and evaluation.
In this paper, our goal is to solve the constrained multi-objective reliability optimization problem of a system with interval valued reliability of each component by maximizing the system reliability and minimizing the system cost under several constraints.
These results emphasize that alarm designers should maximize alarm reliability while minimizing alarm invasiveness.
An attempt to guarantee reliability, while minimizing the energy consumption and, at the same time, considering a packet splitting procedure, has been made in [10].
RPL can even be deployed to support multiple routing topologies according to the objective function such as optimizing reliability and minimizing latency.
In that case, the network designer aims to deploy sufficient SNs to achieve a minimum level of network reliability while minimizing the number of deployed SNs, i.e., minimizing the deployment cost.
This paper presents a formulation for an optimal placement of switches and reclosers in a distribution system for maximizing system reliability while minimizing the associated investment and outage costs considering uncertainties in load data, system failure and repair rates.
Ahmadi et al. (2014) employed a meta-heuristic, multi-objective optimization algorithm, named NSGA-II, to extract optimal operation policies of a single-reservoir system by maximizing the reliability and minimizing the vulnerability of hydropower generation.
A control algorithm, designed for such a system, represents an interesting challenge: it has to adapt to varying working conditions and operate optimally in terms of efficiency and reliability, while minimizing any impacts on the degradation of the components.
