Quantum-inspired evolutionary algorithm for continuous space optimization based on Bloch coordinates of qubits

Li, Panchi; Li, Shiyong

doi:10.1016/j.neucom.2007.11.017

Cited by 67 publications

(26 citation statements)

References 2 publications

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“…The Bloch spherical quantum genetic algorithm utilizes Bloch spherical coordinates to encode and has an advantage on the continuous optimization problem. In order to enhance optimization efficiency and performance, we employed the method of Bloch spherical quantum genetic algorithm [24] to search the lower limit opt of the distribution interval and the corresponding character power .…”

Section: The Basic Principle Of the Bloch Spherical Quantummentioning

confidence: 99%

Typical Daily Power Curve Mining for Energy Storage Systems under Smoothing Power Fluctuation Scenarios

Yang

Ren

et al. 2018

Mathematical Problems in Engineering

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Under the application scenario of smoothing photovoltaic (PV) power fluctuation, a novel typical daily power curve mining method is developed for a battery energy storage system (BESS) that utilizes the power probability distribution and Bloch spherical quantum genetic algorithm. The charging/discharging of BESS is analyzed by applying fuzzy-means clustering techniques. In the mining approach, at any sample time, those distribution intervals containing concentrated power points are individually located by using probability distribution information and Bloch spherical quantum genetic algorithm. Character power for the specified interval can also be determined using Bloch spherical quantum genetic algorithm. Next, a roulette principal is employed, to determine one value from the character power data as a typical value of the mined power curve at the sample time. By connecting the typical power at each sample time, the typical daily power curve for BESS is achieved. Based on typical power curve, decision-maker can master the important operating parameters of BESS and analyze optimal capacity allocation. By error evaluation indexes between the mined typical daily power curve and power curve under different weather patterns, the simulation results verify that the mined power curve can address the operating power of the BESS under different weather patterns.

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Section: The Basic Principle Of the Bloch Spherical Quantummentioning

confidence: 99%

Typical Daily Power Curve Mining for Energy Storage Systems under Smoothing Power Fluctuation Scenarios

Yang

Ren

et al. 2018

Mathematical Problems in Engineering

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“…As quantum rotation gate is unable to cover the entire search space since it outputs discrete values, a mechanism for calculating rotation angle of quantum rotation gate is defined. Platel et al propose versatile QEA [95], with introducing new concept of hitchhiking phenomenon into QEA with little bit elitism in updating parameters and P. Li and S. Li propose Bloch QEA [96] based on Bloch coordinates depicted by qubits. Here and are defined as cos( /2) and sin( /2), respectively.…”

Section: Quantum-mechanics-based Algorithmsmentioning

confidence: 99%

Physics-Inspired Optimization Algorithms: A Survey

Biswas

Mishra

Tiwari

et al. 2013

Journal of Optimization

109

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Natural phenomenon can be used to solve complex optimization problems with its excellent facts, functions, and phenomenon. In this paper, a survey on physics-based algorithm is done to show how these inspirations led to the solution of well-known optimization problem. The survey is focused on inspirations that are originated from physics, their formulation into solutions, and their evolution with time. Comparative studies of these noble algorithms along with their variety of applications have been done throughout this paper.

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“…4. The chaotic quantum genetic algorithms apply to economic dispatch problems [31][32][33][34][35][36][37][38] 4.1. The chaotic quantum genetic algorithm concept Quantum Evolutionary Algorithm [31] (QEA) developed from the basic quantum information science is an evolutionary algorithm based on the quantum computing concept.…”

Section: Inequality Limiting Conditionmentioning

confidence: 99%

“…The Chaotic Quantum Genetic Algorithm (CQGA) [31][32][33][34][35][36][37][38] is adopted in this paper to borrow the Quantum computing concept (such as quantum bit and quantum superposition state). It uses quantum bits to encode the chromosomes.…”

Section: Introductionmentioning

confidence: 99%

Solve environmental economic dispatch of Smart MicroGrid containing distributed generation system – Using chaotic quantum genetic algorithm

Liao¹

2012

International Journal of Electrical Power & Energy Systems

133

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Quantum-inspired evolutionary algorithm for continuous space optimization based on Bloch coordinates of qubits

Cited by 67 publications

References 2 publications

Typical Daily Power Curve Mining for Energy Storage Systems under Smoothing Power Fluctuation Scenarios

Typical Daily Power Curve Mining for Energy Storage Systems under Smoothing Power Fluctuation Scenarios

Physics-Inspired Optimization Algorithms: A Survey

Solve environmental economic dispatch of Smart MicroGrid containing distributed generation system – Using chaotic quantum genetic algorithm

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