Abstract: To optimize the solving efficiency of multi-objective path planning problems, this paper proposes an improved solution based on Whale Optimization Algorithm (IDWOA). First, a greedy strategy ...

Over the past few years, natural intelligence-inspired adaptive metaheuristics have been developed as robust computational paradigms for solving intricate multi-objective optimization problems (MOPs).

Network on Chip (NoC) is a new paradigm for the design of core based System on Chip. It is expected to provide huge computation power due to its higher clock frequencies and parallel execution of ...

Abstract: An increasing number of machine learning algorithms are being applied to multi-objective optimization problems (MOPs), yielding promising results. However, many of these algorithms suffer ...

Journal of Urban and Environmental Engineering, Vol. 10, No. 1 (January to June 2016), pp. 42-49 (8 pages) Abstract: Land use planning seeks to divide land, the most valuable resource in the hands of ...

This paper proposes an exact method to solve an integer indefinite quadratic bilevel problem with multiple objectives at the upper level, where the objective functions at both levels are a product of ...

This paper delves into how to collaboratively reduce emissions of sulfur dioxide, nitrogen oxides, and carbon dioxide through rational energy consumption and governance investment strategies with ...

SAE Transactions, Vol. 113, Section 5: JOURNAL OF MATERIALS AND MANUFACTURING (2004), pp. 101-110 (10 pages) Modern engineering design often involves computation-intensive simulation processes and ...