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An implementation of modified scatter search algorithm to transmission expansion planning
(Tubitak Scientific & Technical Research Council Turkey, 2012-01-01)
Transmission network expansion planning (TNEP) is one of the most important tasks in the field of power systems, especially in deregulated power system environments. TNEP is a nonlinear mixed integer programming problem ...
An enhanced genetic algorithm to solve the static and multistage transmission network expansion planning
(2012-04-23)
An enhanced genetic algorithm (EGA) is applied to solve the long-term transmission expansion planning (LTTEP) problem. The following characteristics of the proposed EGA to solve the static and multistage LTTEP problem are ...
Evaluation of asynchronous average consensus algorithms in pure broadcasting infrastructure-free networks
(IEEE, 2017)
Distributed and cooperative algorithms are of preponderant importance for the correct operation of multiagent systems. In particular, average consensus algorithms represent an appealing alternative for combining measurements ...
A hybrid evolutionary algorithm based on adaptive mutation and crossover for collaborative learning team formation in higher education
(Springer, 2017-10)
In this paper, we address a collaborative learning team formation problem in higher education environments. This problem considers a grouping criterion successfully evaluated in a wide variety of higher education courses ...
On the Use of Meta-Heuristic Algorithms for Automated Test Suite Generation in Software Testing
There exists a dire need to automate the process of test suite generation to get the most optimal results as testing accounts for more than 40% of total cost. A solution consists of using meta-heuristic algorithms which ...
A FAST ALGORITHM ON AVERAGE FOR ALL-AGAINST-ALL SEQUENCE MATCHINGIEEE COMPUTER SOCIETY DL
(IEEE TECHNICAL COMMITTEE ON DATA ENGINEERING, 2016)
Bayesian online algorithms for learning in discrete Hidden Markov Models
(AMER INST MATHEMATICAL SCIENCES, 2008)
We propose and analyze two different Bayesian online algorithms for learning in discrete Hidden Markov Models and compare their performance with the already known Baldi-Chauvin Algorithm. Using the Kullback-Leibler divergence ...
Alternation and Redundancy Analysis of the Intersection Problem
(ASSOC COMPUTING MACHINERY, 2008-03)
The intersection of sorted arrays problem has applications in search engines such as Google.
Previous work has proposed and compared deterministic algorithms for this problem, in an adaptive
analysis based on the encoding ...