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EC
2012
289views ECommerce» more  EC 2012»
10 years 5 months ago
Multimodal Optimization Using a Bi-Objective Evolutionary Algorithm
In a multimodal optimization task, the main purpose is to find multiple optimal solutions (global and local), so that the user can have a better knowledge about different optima...
Kalyanmoy Deb, Amit Saha
CISIS
2011
IEEE
10 years 9 months ago
Agent-based Pickup and Delivery Planning: The Learnable Evolution Model Approach
—The Dynamic Vehicle Routing Problem (DVRP) is an optimization problem in which agents deliver orders that are not known in advance to the routing. Partial solutions need to be a...
Janusz Wojtusiak, Tobias Warden, Otthein Herzog
JNCA
2011
102views more  JNCA 2011»
11 years 21 days ago
Multi-objective zone mapping in large-scale distributed virtual environments
In large-scale distributed virtual environments (DVEs), the NP-hard zone mapping problem concerns how to assign distinct zones of the virtual world to a number of distributed serv...
Ta Nguyen Binh Duong, Suiping Zhou, Wentong Cai, X...
CEC
2010
IEEE
11 years 1 months ago
Evoptool: An extensible toolkit for evolutionary optimization algorithms comparison
— This paper presents Evolutionary Optimization Tool (Evoptool), an optimization toolkit that implements a set of meta-heuristics based on the Evolutionary Computation paradigm. ...
Gabriele Valentini, Luigi Malagò, Matteo Ma...
CIMCA
2005
IEEE
11 years 11 months ago
Fuzzy System Modeling with the Genetic and Differential Evolutionary Optimization
This paper compares the performance of two provably successful evolutionary optimization tools in the optimization of a Fuzzy-Rule-Base (FRB) for the three well known fuzzy modeli...
Mehmet Bodur, Adnan Acan, Talip Akyol
CGI
1999
IEEE
12 years 2 months ago
Evolutionary Optimization of Functionally Defined Shapes: Case Study of Natural Optical Objects
This paper focuses on an approach to modeling shapes through the use of evolutionary optimization or genetic algorithms for functionally represented geometric objects. This repres...
Vladimir V. Savchenko, Alexander A. Pasko
PPSN
2004
Springer
12 years 3 months ago
Coupling of Evolution and Learning to Optimize a Hierarchical Object Recognition Model
Abstract. A key problem in designing artificial neural networks for visual object recognition tasks is the proper choice of the network architecture. Evolutionary optimization met...
Georg Schneider, Heiko Wersing, Bernhard Sendhoff,...
PREMI
2005
Springer
12 years 3 months ago
I-EMO: An Interactive Evolutionary Multi-objective Optimization Tool
With the advent of efficient techniques for multi-objective evolutionary optimization (EMO), real-world search and optimization problems are being increasingly solved for mulitple ...
Kalyanmoy Deb, Shamik Chaudhuri
CEC
2007
IEEE
12 years 4 months ago
An investigation into dynamic problem solving in a hybrid evolutionary market-based multi-agent system
— Static resources allocation problems have been widely studied. More recently some of this attention has changed to focus on dynamic problems, where problem specifications, con...
D. J. Cornforth
CEC
2007
IEEE
12 years 4 months ago
A Utile Function Optimizer
Abstract— We recast the problem of unconstrained continuous evolutionary optimization as inference in a fixed graphical model. This approach allows us to address several pervasi...
Christopher K. Monson, Kevin D. Seppi, James L. Ca...
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