Environmental models are used extensively to evaluate the effectiveness of a range of
design, planning, operational, management and policy options. However, the number of …

Abstract Ant Colony Optimization (ACO) is a metaheuristic that is inspired by the pheromone
trail laying and following behavior of some ant species. Artificial ants in ACO are stochastic …

To solve the problem of achieving the maximum network security goal with lower energy
consumption in wireless sensor networks, this paper proposes a Secure Routing Protocol …

In this paper, we extend the chicken swarm optimization (CSO) to solve multi-objective
optimization problems. Our extention aims to balance between diversity and convergence …

Abstracted from industrial manufacturing process, scheduling on batch processing machines
(BPMs) is known to be an NP-hard discrete optimization problem. Therefore, researchers …

The traveling salesman problem (TSP) is one of the most classical NP-hard problems in the
combinatorial optimization, as many practical problems, such as scheduling problems and …

Multiobjective evolutionary algorithm based on decomposition (MOEA/D) divides a
multiobjective optimization problem into a number of single-objective subproblems and …

В книге рассматривается современное состояние и проблемы развития биоэвристик,
биографический и меметический алгоритмы, вопросы поиска оптимальных решений …

The multiobjective multidimensional knapsack problem (MOMKP) is an extension of the
multiobjective knapsack problem that consists in selecting a subset of items in order to …

This paper presents a new approach called MOEA/NSM (multi-objective evolutionary
algorithm integrating NSGA-II, SPEA2 and MOEA/D features). This paper combines the main …