A Hybrid With Cross-Entropy Method and Sequential Quadratic Programming to Solve Economic Load Dispatch Problem

Subathra, M. S. P.; Selvan, S.; Victoire, T. Aruldoss Albert; Christinal, Hepzibah A.; Amato, Umberto

doi:10.1109/jsyst.2013.2297471

Cited by 108 publications

(57 citation statements)

References 77 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…DE is especially very effective because it does not need derivative information from the cost function; instead it suboptimally or prematurely converges [17]. Other drawbacks associated with metaheuristics are high sensitivity to the control parameters, long computational time, and slow convergence to approximately optimum solution [18].…”

Section: Introductionmentioning

confidence: 99%

Solving non-convex economic dispatch problem via backtracking search algorithm

Modiri-Delshad

Rahim

2014

Energy

103

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

Solving non-convex economic dispatch problem via backtracking search algorithm

Modiri-Delshad

Rahim

2014

Energy

103

View full text Add to dashboard Cite

“…The concept of entropy is used to assign the weight of index weight, which is called entropy weight method [6]. The entropy weight method is used to measure the information provided by the measured data to make it have a strong objectivity.…”

Section: Entropy Weight Methodsmentioning

confidence: 99%

Method for Weight Decision-Making of Wireless Network Performance Indicator Based on Entropy Method

Zhang¹,

Yang²,

Liu³

2017

Topics in Intelligent Computing and Industry Design (ICID)

View full text Add to dashboard Cite

Aiming at the problem that the weight of complex performance index is difficult to make decision in wireless network environment, put forward a weight evaluation method using entropy to determine the indicator weight and construct the weight evaluation model of entropy weight method to evaluate the performance index objectively. With smoothly increasing the node size of wireless workstations, OPNET network simulation software is adopted to record network performance data. After analysis, the entropy information can be used to feedback the contribution degree of performance index information objectively and accurately. The weight decision-making method based on entropy method make reflect the relative importance of network performance index objectively. Moreover, because of its strong adaptability and good flexibility, this method can be widely used in the evaluation of the importance of various network performance indicators.

show abstract

“…[19]. An effective mechanism to effectively explore and exploit a multimodal solution space is to use the DE-type of mutation and crossover operators.…”

Section: Hybrid Grey Wolf Optimizermentioning

confidence: 99%

“…Given the criticism that metaheuristic methods are computationally intensive, a hybrid of both gradient based search and gradient free search approach too has been tried [19]. contains a hybrid of the metaheuristic cross-entropy and the gradient based sequential quadratic programming (SQP) [20], has a hybrid of the metaheuristic harmony search and the modified subgradient methods, and [21] has the metaheuristic ant swarm optimization hybridized with SQP.…”

Section: Introductionmentioning

confidence: 99%