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[PDF] Top 20 Evolutionary optimization in non-stationary environments

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Evolutionary optimization in non-stationary environments

Evolutionary optimization in non-stationary environments

... 0 Pmo,.i:. Another measure >vas based on the observation of the population distribution. orms of the entropy evaluation depended on the demands of the applied al[r] ... See full document

32

An immune artificial algorithm for dynamic optimization problems: a case of study

An immune artificial algorithm for dynamic optimization problems: a case of study

... K. in [14] analyze the efficiency of two mutation operators ap- plied in a clonal selection based optimization algorithm (AIIA) for non-stationary ...six environments generated ... See full document

10

Upgrading evolutionary algorithms through multiplicity for multiobjective optimization in job shop scheduling problems

Upgrading evolutionary algorithms through multiplicity for multiobjective optimization in job shop scheduling problems

... (an evolutionary, co-operative, population search method with multiple crossovers per couple) to build well delineated Pareto fronts in diverse multiobjective optimization problems (MOOPs) was ...and ... See full document

12

Optimization of distribution networks using evolutionary algorithms

Optimization of distribution networks using evolutionary algorithms

... Particularly in [37], a meta-heuristic method based on a greedy randomized adaptive search procedure (GRASP) is used to design off-grid electrification systems with distributed ...a non-trivial ... See full document

146

TítuloTopological active model optimization by means of evolutionary methods for image segmentation

TítuloTopological active model optimization by means of evolutionary methods for image segmentation

... conditions in the images, it is recom- mended to use a global search method to be able to reach global correct solutions in all the possible ...approaches in literature such as the branch and bound ... See full document

176

Mathematical modelling ano optimization strategies for acoustic source localization in reverberant environments

Mathematical modelling ano optimization strategies for acoustic source localization in reverberant environments

... algorithm in both anechoic and non- anechoic ...important in speaker localization as the speech signal is ...factors in the localization accuracy, specially in reverberant ... See full document

133

Evolutionary multiobjetive optimization in non-stationary environments

Evolutionary multiobjetive optimization in non-stationary environments

... ment types, the Pareto fronts produed by MADE. are very lose to the true Pareto fronts with a[r] ... See full document

11

An ACO model for a non-stationary formulation of the single elevator problem

An ACO model for a non-stationary formulation of the single elevator problem

... some evolutionary approaches have been proposed, ...the optimization of certain parameters for a controller, it is assumed that a control unit takes into account a number of pa- rameter values to make the ... See full document

7

Migrants Selection and Replacement in Distributed Evolutionary Algorithms for Dynamic Optimization

Migrants Selection and Replacement in Distributed Evolutionary Algorithms for Dynamic Optimization

... mobile environments, ...population in islands which cooperate through migrations of individuals. In this ar- ticle, we analyze the effect of the migrants selection and replacement on the performance ... See full document

8

An evolutionary algorithm to track changes of optimum value locations in dynamic environments

An evolutionary algorithm to track changes of optimum value locations in dynamic environments

... dynamic environments in the context of this paper means that the fitness landscape changes during the run of an evolutionary ...diversity in the ...scalability in the functions is ... See full document

7

Evolutionary optimization in dynamic fitness landscape environments

Evolutionary optimization in dynamic fitness landscape environments

... an optimization problem changes by one of the following reasons or a combination of both [1]: 1) The objective function changes itself, 2) The constraints ...change in the objective function appears when ... See full document

11

Time-Frequency techniques for the detection of signals in non-stationary environments

Time-Frequency techniques for the detection of signals in non-stationary environments

... ➢ Frequency hopping (FH): Frequency agile radar transmission, either on a pulse to pulse basis or on bursts of pulses. Additionally, PRI can be made agile. Pulse to pulse agility gives ECM protection which is ... See full document

88

Evolutionary design and optimization of Wavelet Transforms for image compression in embedded systems

Evolutionary design and optimization of Wavelet Transforms for image compression in embedded systems

... parameters in the algorithm shall be done in order to improve it while keeping the required computing ...suggested in the literature of ES, a boundary rule to avoid this behavior shall be ... See full document

8

Integration of Structural Shape Modeling, Optimization and Analysis Methods: Foundations of a New Computer Aided Inventing Strategy and Application to an Engine Crankshaft

Integration of Structural Shape Modeling, Optimization and Analysis Methods: Foundations of a New Computer Aided Inventing Strategy and Application to an Engine Crankshaft

... the optimization process, could reduce the possibilities of a valid ...useful in suggesting modification possibilities based on some of the TRIZ innovation ...contradictions in the given part to ... See full document

130

Relative signal strength coverage optimization in indoor and outdoor wireless LAN environments

Relative signal strength coverage optimization in indoor and outdoor wireless LAN environments

... WLAN environments, by studying the propagation characteristics of both environments, considering fading effects as well as ...obstacles. In tackling these issues, we took measurements of QoS ... See full document

7

Stationary phase in Escherichia coli

Stationary phase in Escherichia coli

... a non-growth phase known as stationary and develop a multiple-stress resistance state analogue to sporulation in ...transcribed in a manner dependent on the stationary phase-specific ... See full document

11

Evolutionary optimization of due date based objectives in unrestricted identical parallel machine scheduling problems

Evolutionary optimization of due date based objectives in unrestricted identical parallel machine scheduling problems

... study. In MCMP-SRSI, the process for creating offspring is similar to that of MCMP-SRI, except that the mating pool contains also seed ...immigrants. In this way, the evolutionary algorithm ... See full document

10

Optimization of coefficients of lists of polynomials by evolutionary algorithms

Optimization of coefficients of lists of polynomials by evolutionary algorithms

... This optimization question, we are dealing with, comes from a central problem in the field of the symbolic com- putation of algebraic curves (see [6] for further details), appears in many compu- ... See full document

9

Solving the two dimensional cutting problem using evolutionary algorithms with penalty functions

Solving the two dimensional cutting problem using evolutionary algorithms with penalty functions

... We used a steady-state evolutionary algorithm, which objective is to maximize the fitness. That is to maximize the total value of cut pieces by applying a penalty function. This algorithm uses: binary solution ... See full document

10

Generating order policies by SDP: non-stationary demand and service level constraints

Generating order policies by SDP: non-stationary demand and service level constraints

... By means of a stylized example of an inventory management problem that is relevant for practice we study whether SDP is a suitable method if a minimal service level constraint applies and demand is ... See full document

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