Optimal search strategy for a three-dimensional randomly located target

Many products have similar or common attributes and are thus correlated. We show that, when these attributes are uncertain for consumers, a complementarity effect can arise among competing products in the sense that the lower price of one product may increase the demands for the others. This effect occurs when consumers sequentially search for information about both common and idiosyncratic product attributes before purchase. We characterize the optimal search strategy for the correlated search problem, provide the conditions for the existence of the complementarity effect, and show that the effect is robust under a wide range of alternative assumptions. We further explore the implications of the effect for pricing. When firms compete in price, although product correlation may weaken differentiation between the firms, the complementarity effect owing to correlated search may raise equilibrium price and profit. This paper was accepted by Matthew Shum, marketing.

Download Full-text

SMC protein RecN drives translocation and remodelling of RecA filament for homology search

10.1101/2021.08.16.456443 ◽

2021 ◽

Author(s):

Afroze Chimthanawala ◽

Jyotsana Parmar ◽

Sujan Kumar ◽

Krishnan S Iyer ◽

Madan Rao ◽

...

Keyword(s):

Homologous Recombination ◽

Search Strategy ◽

Strand Break ◽

Homology Search ◽

Filament Length ◽

Optimal Search ◽

Stochastic Description ◽

Homologous Recombination Pathway ◽

Search Mechanism ◽

Recombination Pathway

While the molecular repertoire of the homologous recombination pathway is well studied, the search mechanism that enables recombination between distant homologous regions is poorly understood. Here, we follow the dynamics of the recombinase RecA, an essential component of homology search, after induction of a single double-strand break on the Caulobacter chromosome. We find that the RecA-nucleoprotein filament translocates in a directional manner in the cell, undergoing several pole-to-pole traversals, until homology search is complete. Simultaneously, the filament undergoes dynamic remodelling; both translocation and dynamic remodelling are contingent on the action of the SMC protein RecN via its ATPase cycle. We provide a stochastic description of RecN regulated changes in filament length during translocation via modulation of RecA assembly-disassembly. Together, the observed RecN driven RecA dynamics points to a novel optimal search strategy.

Download Full-text

Formulation of an Optimal Search Strategy for Space Debris At GEO

10.15368/theses.2011.202 ◽

2011 ◽

Author(s):

Daniel J Jackson

Keyword(s):

Search Strategy ◽

Space Debris ◽

Optimal Search

Download Full-text

An optimal search strategy for mobile stations in wireless networks

Proceedings of ICUPC - 5th International Conference on Universal Personal Communications ◽

10.1109/icupc.1996.562717 ◽

2002 ◽

Cited By ~ 8

Author(s):

D.O. Awduche ◽

A. Ganz ◽

A. Gaylord

Keyword(s):

Wireless Networks ◽

Search Strategy ◽

Optimal Search ◽

Mobile Stations

Download Full-text

Optimal search strategy for clinical trials in the Latin American and Caribbean Health Science Literature Database (LILACS)

Sao Paulo Medical Journal ◽

10.1590/s1516-31801997000300004 ◽

1997 ◽

Vol 115 (3) ◽

pp. 1423-1426 ◽

Cited By ~ 42

Author(s):

Aldemar Araujo Castro ◽

Otávio Augusto Câmara Clark ◽

Alvaro Nagib Atallah

Keyword(s):

Clinical Trials ◽

Latin American ◽

Search Strategy ◽

Sao Paulo ◽

Health Science ◽

Science Literature ◽

São Paulo ◽

Optimal Search ◽

Science Information ◽

Latin American And Caribbean

OBJECTIVE: To define and disseminate the optimal search strategy for clinical trials in the Latin American and Caribbean Health Science Literature (LILACS). This strategy was elaborated based on the optimal search strategy for MEDLINE recommended by Cochrane Collaboration for the identification of clinical trials in electronic databases. DESIGN: Technical information. SETTING: Clinical Trials and Meta-Analysis Unit, Federal University of São Paulo, in conjunction with the Brazilian Cochrane Center, São Paulo, Brazil. (http://www.epm.br/cochrane). DATA: LILACS/CD-ROM (Latin American and Caribbean Health Science Information Database), 27th edition, January 1997, edited by BIREME (Latin American and Caribbean Health Science Information Center). LILACS Indexes 670 journals in the region, with abstracts in English, Portuguese or Spanish; only 41 overlap in the MEDLINE-EMBASE. Of the 168.902 citations since 1982, 104,016 are in human trials, and 38,261 citations are potentiality clinical trials. Search strategy was elaborated combining headings with text word in three languages, adapting the interface of the LILACS. We will be working by locating clinical trials in LILACS for Cochrane Controlled Trials Database. This effort is being coordinated by the Brazilian Cochrane Center.

Download Full-text

Multi-Objective Particle Swarm Optimization with Comparison Scheme and New Pareto-Optimal Search Strategy

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.496-500.1895 ◽

2014 ◽

Vol 496-500 ◽

pp. 1895-1900

Author(s):

Wen Wang ◽

Wei Shen ◽

Chao Long Ying ◽

Xin Yi Yang

Keyword(s):

Particle Swarm Optimization ◽

Search Strategy ◽

Particle Swarm ◽

Pso Algorithm ◽

Experimental Results ◽

Pareto Optimal ◽

Optimal Search ◽

Swarm Optimization ◽

Multi Objective ◽

Convergence Performance

In the presented article, a novel multi-objective PSO algorithm, RP-MOPSO has been proposed. The algorithm adopts a new comparison scheme for position upgrading. The scheme is simple but effective in improve algorithms convergence speed. A sigma-density strategy of selecting the global best particle for each particle in swarm based on a new solutions density definition is designed. Experimental results on seven functions show that proposed algorithm show better convergence performance than other classical MOP algorithms. Meanwhile the proposed algorithm is more effective in maintaining the diversity of the solutions.

Download Full-text