The method of rule extraction based on differential evolution (DE-Rule) is proposed in this paper. The style of rule is IF-THEN. Connection word is AND in the antecedent of rule. The consequence of rule is class label. The above rule is encoded and expressed to individual in population of differential evolution. Then the population is iterated through differential mutation and binomial crossove...

Optimal operation of reservoir has been an active area of research for many years. Various techniques have been developed and adopted for reservoir operation incorporating the uncertainty due to stochastic nature of inflows and demands. However there is not much literature reported on models incorporating uncertainty caused due to imprecise goals and objectives. In the present paper a fuzzy opt...

Reliability, resiliency, and vulnerability criteria are formulated as risk-based performance measures for the evaluation of a real-time reservoir operation model. The reservoir operation model includes a multi-objective compromise programming algorithm to select, in real time, an optimal operating horizon for the reservoir operation. The utility of the risk-based performance criteria for compar...

The Reservoir Computing (RC) paradigm utilizes a dynamical system, i.e., a reservoir, and a linear classifier, i.e., a read-out layer, to process data from sequential classification tasks. In this paper the usage of Cellular Automata (CA) as a reservoir is investigated. The use of CA in RC has been showing promising results. In this paper, selected state-of-the-art experiments are reproduced. I...

Enhanced Oil Recovery (EOR) is a well-known method to increase oil production from oil reservoirs. Applying EOR to a new reservoir is a costly and time consuming process. Incorporating available knowledge of oil reservoirs in the EOR process eliminates these costs and saves operational time and work. This work presents a universal method to apply EOR to reservoirs based on the available data by...

The needs of reservoirs grow with population, standard of living, urbanization in the form of water supply, flood control, hydroelectric generation, navigation, recreation etc. Their development inevitably involves a substantial degree of environmental impact. The impact of reservoirs, on an average, increases in an exponential way with their size. If the marginal net benefit were assessed at t...

Abstract In this paper, a methodological proposal is made to develop an adaptive decision support system for reservoir management. The based on optimization model that determines operating rules meet certain optimality conditions the state of at time and streamflow forecast, if available. Spiliotis et al. in Water Resour Manage 30:5759-5778, where general methodology was developed specify stati...

Most common methods used in optimal control of reservoir systems require a large number of control variables, which are typically the sequences of releases from all reservoirs and for all time steps of the control period. In contrast, the less widespread parameterization-simulation-optimization (PSO) method is a low-dimensional method. It uses a handful of control variables, which are parameter...

In this article, a fuzzy rule based model is developed for the operation of a single purpose reservoir. The model operates on an ‘if – then’ principle, where the ‘if’ is a vector of fuzzy premises and the ‘then’ is a vector of fuzzy consequences. The steps involved in the development of the model include, construction of membership functions for the inflow, storage, demand and the release, form...

This paper proposes the Marine Predators algorithm (MPA) linked with reservoir simulation model and considering sedimentation, in order to improve rule curves. The release criteria of hedging (HR) standard operating policy (SOP) were investigated this study. results showed that patterns new optimal curves from MPA technique sedimentation using HR practically useful study, as SOP those existing ...