Search
Search Results
-
Bayesian Decision Trees Inspired from Evolutionary Algorithms
Bayesian Decision Trees (DTs) are generally considered a more advanced and accurate model than a regular Decision Tree (DT) as they can handle...
-
Synthesis of Trajectory Planning Algorithms Using Evolutionary Optimization Algorithms
The article considers the problem of planning the optimal trajectory of a delta robot. The workspace of the robot is limited by the range of...
-
A surrogate-assisted evolutionary algorithm with clustering-based sampling for high-dimensional expensive blackbox optimization
Many practical problems involve the optimization of computationally expensive blackbox functions. The computational cost resulting from expensive...
-
A surrogate-assisted a priori multiobjective evolutionary algorithm for constrained multiobjective optimization problems
We consider multiobjective optimization problems with at least one computationally expensive constraint function and propose a novel...
-
An advanced initialization technique for metaheuristic optimization: a fusion of Latin hypercube sampling and evolutionary behaviors
Many new metaheuristic algorithms prioritize their search strategy phase, often neglecting equally critical stages like initialization. Latin...
-
Gradient-based algorithms for multi-objective bi-level optimization
Multi-objective bi-level optimization (MOBLO) addresses nested multi-objective optimization problems common in a range of applications. However, its...
-
Algorithms for Solving the Inverse Scattering Problem for the Manakov Model
AbstractThe paper considers algorithms for solving inverse scattering problems based on the discretization of the Gelfand–Levitan–Marchenko integral...
-
Memetic Algorithms
This chapter is dedicated to memetic algorithms for diversity and dispersion problems. It is organized in two parts. The first part discusses the...
-
A Multi-Period Constrained Multi-Objective Evolutionary Algorithm with Orthogonal Learning for Solving the Complex Carbon Neutral Stock Portfolio Optimization Model
Financial market has systemic complexity and uncertainty. For investors, return and risk often coexist. How to rationally allocate funds into...
-
Multi-Objective Evolutionary Algorithms: Past, Present, and Future
Evolutionary algorithms have become a popular choice for solving highly complex multi-objective optimization problems in recent years....
-
Robust Strategy Optimization of Networked Evolutionary Games with Disturbance Inputs
This paper investigates the robust strategy optimization problem for networked evolutionary games (NEGs) with pseudo-players and disturbance inputs...
-
TruEst: a better estimator of evolutionary distance under the INFER model
Genome rearrangements are evolutionary events that shuffle genomic architectures. The number of genome rearrangements that happened between two...
-
Hybrid Evolutionary Algorithm with Optimized Operators for Total Weighted Tardiness Problem
A new evolutionary algorithm with optimal recombination is proposed for the total weighted tardiness problem on the single machine. We solve the...
-
Methods for Improving and Evaluating the Performance of Unstructured CFD Algorithms
AbstractThe problem of improving the performance of unstructured CFD algorithms on multicore processors is discussed. The details of the application...
-
Constraint-guided evolutionary algorithm for solving the winner determination problem
Combinatorial Auctions (CAs) allow the participants to bid on a bundle of items and can result in more cost-effective deals than traditional auctions...
-
Fast and Robust Constrained Optimization via Evolutionary and Quadratic Programming
Many efficient and effective approaches have been proposed in the evolutionary computation literature for solving constrained optimization problems....
-
Single-stage to orbit ascent trajectory optimisation with reliable evolutionary initial guess
In this paper, the ascent trajectory optimization of a lifting body Single-Stage To Orbit (SSTO) reusable launch vehicle is investigated. The work is...
-
Fixation probability in evolutionary dynamics on switching temporal networks
Population structure has been known to substantially affect evolutionary dynamics. Networks that promote the spreading of fitter mutants are called...
-
Three Search Algorithms for Three Nonconvex Optimization Problems
The paper deals with three numerical approaches that allow one to construct computational technologies for solving nonconvex optimization problems....
-
A Hierarchical Method of Parameter Setting for Population-Based Metaheuristic Optimization Algorithms
AbstractMetaheuristic algorithms for a global optimization problem have unbound strategy parameters that affect solution accuracy and algorithm...
