A hybrid evolutionary algorithm

Part 2 book "Evolutionary scheduling" includes content: Optimum oil production planning using an evolutionary approach; a hybrid evolutionary algorithm for service restoration in power distribution systems; evolutionary generator maintenance scheduling in power systems; simultaneous planning and scheduling for multi autonomous vehicles; evolutionary optimization of business process designs; a genetic algorithm based reconfigurable scheduler.

349p oursky03 21-08-2023 5 4   Download

In this article, a Python-programmed advanced design paradigm is firstly introduced to topology and size optimization of the X-bracing system of nonlinear inelastic space steel frames. For that purpose, an advanced analysis method considering both geometric and material nonlinearities is utilized as an effective finite element analysis (FEA) solver.

13p vimclaren 12-10-2022 8 2   Download

Reticulate events play an important role in determining evolutionary relationships. The problem of computing the minimum number of such events to explain discordance between two phylogenetic trees is a hard computational problem. Even for binary trees, exact solvers struggle to solve instances with reticulation number larger than 40-50.

12p vikentucky2711 26-11-2020 8 0   Download

Backtracking Search Optimization Algorithm (BSA) is a new stochastic evolutionary algorithm and the aim of this paper is to introduce a hybrid approach combining the BSA and Quadratic approximation (QA), called HBSAfor solving unconstrained non-linear, non-differentiable optimization problems.

12p tohitohi 22-05-2020 18 1   Download

The joint interaction of those two components yields a very efficient procedure for solving the FJSSP. An important step in the development of the algorithm was the selection of the right MOEA. Candidates were tested on problems of low, medium and high complexity. Further analyses showed the relevance of the search algorithm in the hybrid structure.

12p toritori 11-05-2020 14 0   Download

This book is a collection of current research in the application of evolutionary algorithms and other optimal algorithms to solving the TSP problem. It brings together researchers with applications in Artificial Immune Systems, Genetic Algorithms, Neural Networks and Differential Evolution Algorithm. Hybrid systems, like Fuzzy Maps, Chaotic Maps and Parallelized TSP are also presented.

0p cucdai_1 22-10-2012 94 6   Download