We recall the use of squared slacks used to transform inequality constraints into equalities and several reasons why their introduction may be harmful in many algorithmic frameworks routinely used in nonlinear programming. Numerical examples performed with the sequential quadratic programming method illustrate those reasons.

In this paper we proposed a thermal-aware scheduling algorithm for peak temperature reduction with stochastic workloads. The proposed approach consists of two steps. The first step constructs a job sequence based on the mean of the execution time of each job; and the constructed job sequence interleaves the execution of hot jobs and cool jobs. The hot job pushes up the chip temperature while th...

Purpose China has proposed two-stage goals of carbon peaking by 2030 and neutralization 2060. The emission reduction effect the power industry, especially thermal will directly affect progress goal. This paper aims to reveal spatial-temporal characteristics influencing factors efficiency industry proposes policy suggestions for realizing China’s peak goals. Design/methodology/approach evaluates...

Low-carbon economic development is at the heart of post-pandemic green recovery scheme worldwide. It requires without compromising on environment, implying a critical role that productivity plays in achieving carbon neutrality goal. Green measures quality growth with consideration for energy consumption and environmental pollution. This study employs slacks-based measure directional distance fu...

With the development of machine learning algorithm and fuzzy theory, clustering based on time series has received more attention. Based theory considering correlation data attributes, it proposes a novel multivariate method Slacks Measure (MFTS-SBM). Compared with traditional that ability to deal fuzziness uncertainty, proposed hybrid SBM employs input output items considers results influencing...

In this paper, we suggest that ine±ciency may be an indirect, onthe-job compensation to agents in an organization. We show how to use actual production data to reveal the trade-o®s between di®erent ine±ciencies (slacks). Moreover, we discuss how to use this to improve decision making and incentive provisions in organizations.