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Chapter and Conference Paper
Using Parallel Strategies to Speed up Pareto Local Search
Pareto Local Search (PLS) is a basic building block in many state-of-the-art multiobjective combinatorial optimization algorithms. However, the basic PLS requires a long time to find high-quality solutions. In...
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Chapter and Conference Paper
Towards Landscape-Aware Automatic Algorithm Configuration: Preliminary Experiments on Neutral and Rugged Landscapes
The proper setting of algorithm parameters is a well-known issue that gave rise to recent research investigations from the (offline) automatic algorithm configuration perspective. Besides, the characteristics ...
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Chapter and Conference Paper
A Fitness Cloud Model for Adaptive Metaheuristic Selection Methods
Designing portfolio adaptive selection strategies is a promising approach to gain in generality when tackling a given optimization problem. However, we still lack much understanding of what makes a strategy ef...
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Chapter and Conference Paper
Multi-objective Local Search Based on Decomposition
It is generally believed that Local search (Ls) should be used as a basic tool in multi-objective evolutionary computation for combinatorial optimization. However, not much effort has been made to investigate how...
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Chapter and Conference Paper
Distributed Adaptive Metaheuristic Selection: Comparisons of Selection Strategies
In Distributed Adaptive Metaheuristics Selection (DAMS) methods, each computation node can select, at run-time during the optimization process, one metaheuristic to be executed from a portfolio of available me...
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Chapter and Conference Paper
Shake Them All!
In this paper, we build upon the previous efforts to enhance the search ability of Moea/d (a multi-objective decomposition-based algorithm), by investigating the idea of evolving the whole population simultaneous...
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Chapter and Conference Paper
An Analysis of Differential Evolution Parameters on Rotated Bi-objective Optimization Functions
Differential evolution (DE) is a very powerful and simple algorithm for single- and multi-objective continuous optimization problems. However, its success is highly affected by the right choice of parameters. ...
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Chapter and Conference Paper
On the Impact of Multiobjective Scalarizing Functions
Recently, there has been a renewed interest in decomposition-based approaches for evolutionary multiobjective optimization. However, the impact of the choice of the underlying scalarizing function(s) is still ...
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Chapter and Conference Paper
Adaptive Dynamic Load Balancing in Heterogeneous Multiple GPUs-CPUs Distributed Setting: Case Study of B&B Tree Search
The emergence of new hybrid and heterogenous multi-GPUs multi-CPUs large scale platforms offers new opportunities and poses new challenges when solving difficult optimization problems. This paper targets irreg...
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Chapter and Conference Paper
Local Maps: New Insights into Mobile Agent Algorithms
We address the problem of computing with mobile agents having small local maps. Several trade-offs concerning the radius of the local maps, the number of agents, the time complexity and the number of agent mov...
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Chapter and Conference Paper
Mobile Agents Implementing Local Computations in Graphs
Mobile agents are a well-known paradigm for the design and implementation of distributed systems. However, whilst their popularity continues to grow, a uniform theory of mobile agent systems is not yet suffici...
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Chapter and Conference Paper
Deterministic Distributed Construction of Linear Stretch Spanners in Polylogarithmic Time
The paper presents a deterministic distributed algorithm that given an n node unweighted graph constructs an O(n 3/2) edge 3-spanner for it in O(logn) time. This algorithm is then extended into a ...