Search domain for the multiobjective analysis
Multiobjective Harmony Search Algorithm Proposals
... for the design of a reconfigurable mobile robot prototype. The objectives to be minimized in this problem are the stability of the mobile robot, torque resistance of the rear wheels and the mass of the mobile robot. ...
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Differential Search Algorithm for Multiobjective Problems
... However, multiobjective optimization problems do not restrict to obtain a single objective function ...The multiobjective optimization problems (MOPs) contain a set of solutions called non-dominated ...of ...
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Hybridization of decomposition and local search for multiobjective optimization
... local search methods are often used as basic elements in designing hybrid heuristics for combinatorial ...efficient multiobjective memtic algorithm, called ...local search, and an external population ...
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Hybridization of Decomposition and Local Search for Multiobjective Optimization
... efficient multiobjective memtic algorithm, called ...cal search and heuristics, and Pareto local search methods for dealing with combinatorial multiobjective ...the multiobjective ...
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Collective personalized change classification with multiobjective search
... posed to identify defect-prone changes. These techniques consider all developers’ historical change data to build a global predic- tion model. In practice, since developers have their own coding preferences and ...
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Domain-Specific Analysis and Search on User-Generated Content
... In order to identify topics of Yik Yak messages, we relied on statistical model- ing as an alternative to the subjective classification scheme recently used by Black and colleagues [19]. A subsequent analysis of ...
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Reactive Search Optimization; Application to Multiobjective Optimization Problems
... local search techniques for intelligent optimization and Reactive Search ...local search optimization, learning and optimization has been deeply interconnected through interaction with the decision ...
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Smoothed Analysis of Multiobjective Optimization
... ∆(a) = w(x ?a ) − w(x ?1 ). Lemma 3.2. For every ε ≥ 0 and z ∈ N, Pr ∆(2 z−1 + 1) ≤ ε ≤ 2 z 2 +z n z φ z ε z−1 . 4 Bicriteria Optimization In this section, we consider problems with two objective functions. Let us ...
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Smoothed Analysis of Multiobjective Optimization
... In the semi-random input model that we study, the set S of feasible solutions and the last objective function w d are chosen by an adversary. The coefficients w i j for i ∈ [d − 1] and j ∈ [n] are random variables drawn ...
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Knowledge Search Strategies in the Biotechnology Domain: A Patent Benchmarking Analysis
... 3. The study setting Data relative to patents granted between 1960 and 2007 to 255 Italian university researchers actively working in the biotechnology field were collected for the empirical study from the EPO databank. ...
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A Parallel Tabu Search Algorithm for Optimizing Multiobjective VLSI Placement
... In this work, we presented a parallel tabu search strategy for accelerating the solution to a constrained multiobjective VLSI cell placement problem. The pro- posed strategy belongs to p-control, RS, MPSS ...
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Digital Filter Design Using Multiobjective Cuckoo Search Algorithm
... However, some computation systems are mainly forward-going and can not be simply inverted. although it is easy to proceed the input-computation-output process, the reversed operation of finding the input of an obtained ...
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Multiple Tabu Search for Multiobjective Urban Transit Scheduling Problem
... consider multiobjective bus driver scheduling problem based on TS and Genetic Algorithm (GA) is Louren¸co et ...solving multiobjective transit frequency ...
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Defining and Optimizing Indicator-based Diversity Measures in Multiobjective Search
... evolutionary multiobjective optimization (EMO) includes to find a set of Pareto-optimal solutions which is as diverse as possible to offer the decision maker a good selection of ...cently, multiobjective ...
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Multiobjective Monte Carlo Tree Search for Real-Time Games
... Tree Search for Real-Time Games Diego Perez, Student Member, IEEE, Sanaz Mostaghim, Member, IEEE, Spyridon Samothrakis, Student Member, IEEE, Simon ...Tree Search algorithm for planning and control in ...
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Domain Bias in Web Search
... web search that we call domain bias — a user’s propensity to believe that a page is more relevant just because it comes from a par- ticular ...of domain bias in click activity as well as in human ...
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Comparison of Semantic-based Local Search Methods for Multiobjective Genetic Programming
... local search tree ...its search, leading to a reason- able basis for comparison although we restate that the runtime of the generational RDO algorithm with subtree selection method ‘1’ above (GenRDO-1) was ...
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Local Search Inspired Rough Sets for Improving Multiobjective Evolutionary Algorithm
... one, multiobjective version of genetic algorithm is used as search engine in order to generate approximate true Pareto ...local search engine in order to improve the spread of the solutions found so ...
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ENERGY EFFICIENT SCHEDULING IN HETEROGENEOUS SYSTEMS WITH A PARALLEL MULTIOBJECTIVE LOCAL SEARCH
... local search algorithm for solving the multiobjective scheduling problem in heterogeneous com- puting ...fully multiobjective ap- proach, applying a Pareto-based dominance search that is ...
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Tabu search method for solving multiobjective job shop scheduling problem
... For this study, we will discuss only on job shop scheduling problem. Job shop is a model of solution for a scheduling and sequencing problem. We use the job shop model when there are machines and each job has its own ...
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