Local Search Efficiency when Optimizing Unimodal Pseudoboolean Functions

نویسندگان

  • Alexander Antamoshkin
  • Eugene Antamoshkin
  • Eugene Semenkin
چکیده

This work is a continuation of our previous papers devoted to exploration of the regular search procedures efficiency in binary search spaces. Here we formulate the problem in a rather general form as a problem of optimization of an unimodal pseudoboolean function given implicitly and obtain analitical estimates of the expected time of a minimum point search for procedures of direct local search. These estimates are polinomial for the case of weakly nonmonotone functions and exponential for the general case of arbitrary unimodal functions. We hope that the proposed result will be usefull first of all for practical applications.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Optimizing a 2D Function Satisfying Unimodality Properties

A general formulation of discrete optimization is to maximize a given function f : D → R over a discrete (finite) domain D. In general, of course, this problem may require |D| probes to f . One approach to making optimization more tractable is to be satisfied with finding a local maximum, i.e., a point at which f attains a value larger than all “neighboring” points, for some definition of neigh...

متن کامل

Quad Search and Hybrid Genetic Algorithms

A bit climber using a Gray encoding is guaranteed to converge to a global optimum in fewer than evaluations on unimodal 1-D functions and on multi-dimensional sphere functions, where bits are used to encode the function domain. Exploiting these ideas, we have constructed an algorithm we call Quad Search. Quad Search converges to a local optimum on unimodal 1-D functions in not more than functio...

متن کامل

Xergy analysis and multiobjective optimization of a biomass gasification-based multigeneration system

Biomass gasification is the process of converting biomass into a combustible gas suitable for use in boilers, engines, and turbines to produce combined cooling, heat, and power. This paper presents a detailed model of a biomass gasification system and designs a multigeneration energy system that uses the biomass gasification process for generating combined cooling, heat, and electricity. Energy...

متن کامل

Evolutionary Algorithms Performance Comparison For Optimizing Unimodal And Multimodal Test Functions

Many evolutionary algorithms have been presented in the last few decades, some of these algorithms were sufficiently tested and used in many researches and papers, such as: Particle Swarm Optimization (PSO), Genetic Algorithm (GA), and Differential Evolution Algorithm (DEA). Other recently proposed algorithms were unknown and rarely used such as Stochastic Fractal Search (SFS), Symbiotic Organi...

متن کامل

Design and Management of Complex Technical Processes and Systems by means of Computational Intelligence Methods On the Behavior of the (1+1) Evolutionary Algorithm on Quadratic Pseudo-Boolean Functions

Evolutionary algorithms are randomized search heuristics, which are often used as function optimizers. In this paper the well-known (1+1) Evolutionary Algorithm ((1+1) EA) and its multistart variants are studied. Several results on the expected runtime of the (1+1) EA on linear or unimodal functions have already been presented by other authors. This paper is focused on quadratic pseudo-boolean ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:
  • Informatica, Lith. Acad. Sci.

دوره 9  شماره 

صفحات  -

تاریخ انتشار 1998