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The process industries are characterized by a large number of continuously operating plants, for which optimal operation is of economic importance. However, optimal operation is particularly difficult to achieve when the process model used in the optimizat ...
The problem of energy optimization in multi-core systems (such as single-chip multiprocessors) where the individual energy demands of various processing elements are governed by instantaneous workload requirements is well defined in literature. The signifi ...
This paper aims to maximize the profitability of a set of brand SKUs stocked at a particular retailer by optimizing the number of facings for each product. Based on the past data, a set of variables such as retail price of different SKUs, linear footage th ...
In the framework of real-time optimization, measurement-based schemes have been developed to deal with plant-model mismatch and process variations. These schemes differ in how the feedback information from the plant is used to adapt the inputs. A recent id ...
In this paper the problem of dynamic manipulation of active objects by throwing is studied. Here active object means a multi-body object that can actively move its body parts. The prime reason for selecting this problem is existence of conceptual analogy b ...
Constraint satisfaction/optimization is a powerful paradigm for solving numerous tasks in distributed AI, including planning, scheduling and resource allocation. However, up to now, distributed algorithms for constraint reasoning (especially optimization) ...
In the framework of process optimization, measurements can be used to compensate for the effect of uncertainty. The method studied in this paper combines a process model and measurements to iteratively improve the operation of continuous processes. Unlike ...
Challenges in real-time process optimization mainly arise from the inability to build and adapt accurate models for complex physico-chemical processes. This paper surveys different ways of using measurements to compensate for model uncertainty in the conte ...
The electrical discharge machining process (EDM) was discovered in the 1950s, and was then used essentially to destroy unrecoverable damaged screws. Since then, huge progress has been achieved in making this process reliable and able to perform the most co ...
Challenges in real-time process optimization mainly arise from the inability to build and adapt accurate models for complex physico-chemical processes. This paper surveys different ways of using measurements to compensate for model uncertainty in the conte ...
